Anant Madabhushi

283 papers A 1B 25C 1Journal 82Unranked 151

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hypergraph-based model for tumor prognosis using local and global information fusion on H&E-stained histology images. Medical Image Anal. Chao Tang, Jun Liu, Yanfen Cui, Zhenhui Li, Xiuming Zhang, Su Yao, Huan Lin, Dacheng Yang, Zhishun Liu, Wei Zhao, Shiwei Luo, Ke Zhao, Yun Zhu, Guangjun Yang, Lixu Yan, Shuting Chen, Xiangtian Zhao, Yingqiu Huo, Zhiyang Chen, Hongbo Liu, Jiahui Ma, Wenfeng He, Tao Tan, Anant Madabhushi, Jinglei Tang, Zaiyi Liu, Cheng Lu
2026	J	`jnl`	Computational Pathology in the Era of Emerging Foundation and Agentic AI - International Expert Perspectives on Clinical Integration and Translational Readiness. CoRR Qian Da, Yijiang Chen, Min Ju, Zheyi Ji, Albert Zhou, Wenwen Wang, Matthew Abikenari, Philip Chikontwe, Guillaume Larghero, Bowen Chen, Peter Neidlinger, Dingrong Zhong, Shuhao Wang, Wei Xu, Drew F. K. Williamson, Germán Corredor, Sen Yang, Le Lu, Xiao Han, Kun-Hsing Yu, Jun-Zhou Huang, Laura Barisoni, Geert Litjens, Anant Madabhushi, Lifeng Zhu, Chaofu Wang, Junhan Zhao, Weiguo Hu
2026	J	`jnl`	Extracting and analyzing 3D histomorphometric features related to perineural and lymphovascular invasion in prostate cancer. CoRR Sarah S. L. Chow, Rui Wang, Robert Serafin, Yujie Zhao, Elena Baraznenok, Xavier Farré, Jennifer Salguero-Lopez, Gan Gao, Huai-Ching Hsieh, Lawrence D. True, Priti Lal, Anant Madabhushi, Jonathan T. C. Liu
2026	J	`jnl`	SAGE: Agentic Framework for Interpretable and Clinically Translatable Computational Pathology Biomarker Discovery. CoRR Sahar Almahfouz Nasser, Juan Francisco Pesantez Borja, Jincheng Liu, Tanvir Hasan, Zenghan Wang, Suman Ghosh, Sandeep Manandhar, Shikhar Shiromani, Twisha Shah, Naoto Tokuyama, Anant Madabhushi
2025	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Anna Schroder, Xiang Li, Tanveer F. Syeda-Mahmood, Neil P. Oxtoby, Alexandra L. Young, Alessa Hering, Tejas Sudharshan Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi
2025	—	`conf`	Non-Invasive Molecular Classification of Gliomas Using Explainable ai and Radiomic Features from Multi-Sequence MRI. ISBI Satvik R. Elayavalli, Ipsa Yadav, Grant T. Cookson, Elias Sharifi, Tanya Tvrdic, Anant Madabhushi, Brent D. Weinberg, Malak Abedalthagafi, Sirvan Khalighi
2025	J	`jnl`	Quantitative assessment of impact of technical and population-based factors on fairness of AI models for chest X-ray scans. Comput. Biol. Medicine Dmitry Cherezov, Pingfu Fu, Anant Madabhushi
2025	—	`conf`	UNETVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM. ISBI Xuhui Guo, Tanmoy Dam, Rohan Dhamdhere, Gourav Modanwal, Anant Madabhushi
2025	J	`jnl`	UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM. CoRR Xuhui Guo, Tanmoy Dam, Rohan Dhamdhere, Gourav Modanwal, Anant Madabhushi
2025	J	`jnl`	When multiple instance learning meets foundation models: Advancing histological whole slide image analysis. Medical Image Anal. Hongming Xu, Mingkang Wang, Duanbo Shi, Huamin Qin, Yunpeng Zhang, Zaiyi Liu, Anant Madabhushi, Peng Gao, Fengyu Cong, Cheng Lu
2024	J	`jnl`	Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning. Comput. Methods Programs Biomed. Zelin Zhang, Sara ArabYarmohammadi, Patrick Leo, Howard Meyerson, Leland Metheny, Jun Xu, Anant Madabhushi
2024	J	`jnl`	Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study. Comput. Biol. Medicine Amogh Hiremath, Vidya Sankar Viswanathan, Kaustav Bera, Rakesh Shiradkar, Lei Yuan, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi
2024	—	`conf`	Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region. EMBC Rohan Dhamdhere, Satvika Bharadwaj, Arpit Aggarwal, Pushkar Mutha, Wenqi Shi, Benoit Marteau, Anant Madabhushi, May D. Wang
2024	J	`jnl`	PatchSorter: a high throughput deep learning digital pathology tool for object labeling. npj Digit. Medicine Cedric Walker, Tasneem Talawalla, Robert Toth, Akhil Ambekar, Kien Rea, Oswin Chamian, Fan Fan, Sabina Berezowska, Sven Rottenberg, Anant Madabhushi, Marie Maillard, Laura Barisoni, Hugo Mark Horlings, Andrew Janowczyk
2024	J	`jnl`	Rank acquisition impact on radiomics estimation (AсquIRE) in chest CT imaging: A retrospective multi-site, multi-use-case study. Comput. Methods Programs Biomed. Dmitry Cherezov, Vidya Sankar Viswanathan, Pingfu Fu, Amit Gupta, Anant Madabhushi
2023	—	`conf`	A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancer. Digital and Computational Pathology Shayan Monabbati, Sirvan Khalighi, Pingfu Fu, Sylvia Asa, Anant Madabhushi
2023	—	`conf`	Biopsy and surgical specimen specific deep learning models for prostate cancer detection on digitized pathology images. Digital and Computational Pathology Brennan T. Flannery, Priti Lal, Michael D. Feldman, María Natalizio, Juan C. Santa-Rosario, Anant Madabhushi
2023	J	`jnl`	Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review. CoRR Chuang Zhu, Shengjie Liu, Feng Xu, Zekuan Yu, Arpit Aggarwal, Germán Corredor, Anant Madabhushi, Qixun Qu, Hongwei Fan, Fangda Li, Yueheng Li, Xianchao Guan, Yongbing Zhang, Vivek Kumar Singh, Farhan Akram, Md. Mostafa Kamal Sarker, Zhongyue Shi, Mulan Jin
2023	J	`jnl`	CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. CoRR Fan Fan, Georgia Martinez, Thomas DeSilvio, John Shin, Yijiang Chen, Bangchen Wang, Takaya Ozeki, Maxime W. Lafarge, Viktor H. Koelzer, Laura Barisoni, Anant Madabhushi, Satish E. Viswanath, Andrew Janowczyk
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part I MICCAI (1) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part II MICCAI (2) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part III MICCAI (3) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IV MICCAI (4) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part IX MICCAI (9) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V MICCAI (5) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VI MICCAI (6) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VII MICCAI (7) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII MICCAI (8) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part X MICCAI (10) Hayit Greenspan, Anant Madabhushi, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor
2023	J	`jnl`	Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer. Medical Image Anal. Yufei Zhou, Can Koyuncu, Cheng Lu, Rainer Grobholz, Ian Katz, Anant Madabhushi, Andrew Janowczyk
2023	J	`jnl`	Novel Fractal-Based Sub-RPE Compartment OCT Radiomics Biomarkers Are Associated With Subfoveal Geographic Atrophy in Dry AMD. IEEE Trans. Biomed. Eng. Sudeshna Sil Kar, Hasan Cetin, Joseph Abraham, Sunil K. Srivastava, Jon Whitney, Anant Madabhushi, Justis P. Ehlers
2023	J	`jnl`	PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling. CoRR Cedric Walker, Tasneem Talawalla, Robert Toth, Akhil Ambekar, Kien Rea, Oswin Chamian, Fan Fan, Sabina Berezowska, Sven Rottenberg, Anant Madabhushi, Marie Maillard, Laura Barisoni, Hugo Mark Horlings, Andrew Janowczyk
2023	B	`conf`	Resolving impact of technical and biological variability on the convolutional neural networks: evaluating chest x-ray scans. Image Processing Dmitry Cherezov, Vidya Sankar Viswanathan, Amit Gupta, Anant Madabhushi
2023	—	`conf`	STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models. MICCAI (6) Rohan Dhamdhere, Gourav Modanwal, Mohamed H. E. Makhlouf, Neda Shafiabadi Hassani, Satvika Bharadwaj, Pingfu Fu, Ioannis Milioglou, Mahboob Rahman, Sadeer Al-Kindi, Anant Madabhushi
2023	—	`conf`	Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker. Digital and Computational Pathology Germán Corredor, Can Koyuncu, Andrew Janowczyk, Paula Toro, Sepideh Azarianpour, James S. Lewis Jr., Anant Madabhushi
2023	—	`conf`	Transformer as a spatially-aware multi-instance learning framework to predict the risk of death for early-stage non-small cell lung cancer. Digital and Computational Pathology Yufei Zhou, Can Koyuncu, Cristian Barrera, Germán Corredor, Xiangxue Wang, Cheng Lu, Anant Madabhushi
2023	—	`conf`	Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer. MICCAI (6) Sara ArabYarmohammadi, Germán Corredor, Yufei Zhou, Miguel López de Rodas, Kurt A. Schalper, Anant Madabhushi
2022	—	`conf`	Computer extracted features of tumor-infiltrating lymphocytes (TILs) architecture are prognostic of progression-free survival in stage III colon cancer. Digital and Computational Pathology Aya Aqeel, Germán Corredor, Vidya Sankar Viswanathan, Chuheng Chen, Mogjan Mokhtari, Pingfu Fu, Joseph E. Willis, Anant Madabhushi
2022	—	`conf`	Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer. Computer-Aided Diagnosis Ansh Roge, Amogh Hiremath, Michael Sobota, Sree Harsha Tirumani, Leonardo Kayat Bittencourt, Justin Ream, Ryan Ward, Halimat Olaniyan, Sadhna Verma, Andrei S. Purysko, Anant Madabhushi, Rakesh Shiradkar
2022	—	`conf`	Identifying the origination of liver metastasis using a hand-crafted computational pathology approach. Digital and Computational Pathology Chuheng Chen, Cheng Lu, Joseph E. Willis, Anant Madabhushi
2022	J	`jnl`	Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. CoRR Nathaniel Braman, Prateek Prasanna, Kaustav Bera, Mehdi Alilou, Mohammadhadi Khorrami, Patrick Leo, Maryam Etesami, Manasa Vulchi, Paulette Turk, Amit Gupta, Prantesh Jain, Pingfu Fu, Nathan Pennell, Vamsidhar Velcheti, Jame Abraham, Donna Plecha, Anant Madabhushi
2022	—	`conf`	Quantitative histomorphometric features of tumor nuclei are prognostic of disease-free survival in papillary thyroid carcinoma. Digital and Computational Pathology Shayan Monabbati, Paula Toro, Kaustav Bera, Pingfu Fu, Sylvia A. Lou, Anant Madabhushi
2022	J	`jnl`	RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment. IEEE J. Biomed. Health Informatics Jacob T. Antunes, Marwa Ismail, Imran Hossain, Zhoumengdi Wang, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
2022	J	`jnl`	Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. IEEE Trans. Medical Imaging Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia B. Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
2022	J	`jnl`	Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images. Comput. Biol. Medicine Jiawei Xie, Xiaohong Pu, Jian He, Yudong Qiu, Cheng Lu, Wei Gao, Xiangxue Wang, Haoda Lu, Jiong Shi, Yuemei Xu, Anant Madabhushi, Xiangshan Fan, Jun Chen, Jun Xu
2021	J	`jnl`	A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2021	J	`jnl`	A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT. BMC Medical Imaging Thomas Atta-Fosu, Michael LaBarbera, Soumya Ghose, Paul Schoenhagen, Walid Saliba, Patrick J. Tchou, Bruce D. Lindsay, Milind Y. Desai, Deborah Kwon, Mina K. Chung, Anant Madabhushi
2021	J	`jnl`	Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis. Medical Image Anal. Jun Xu, Haoda Lu, Haixin Li, Chaoyang Yan, Xiangxue Wang, Min Zang, Dirk G. de Rooij, Anant Madabhushi, Eugene Yujun Xu
2021	J	`jnl`	Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers. Medical Image Anal. Cheng Lu, Can Koyuncu, Germán Corredor, Prateek Prasanna, Patrick Leo, Xiangxue Wang, Andrew Janowczyk, Kaustav Bera, James S. Lewis Jr., Vamsidhar Velcheti, Anant Madabhushi
2021	J	`jnl`	Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study. IEEE Trans. Biomed. Eng. Azam Moosavi, Natalia Figueiredo, Prateek Prasanna, Sunil K. Srivastava, Sumit Sharma, Anant Madabhushi, Justis P. Ehlers
2021	J	`jnl`	Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study. IEEE J. Biomed. Health Informatics Amogh Hiremath, Kaustav Bera, Lei Yuan, Pranjal Vaidya, Mehdi Alilou, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi
2021	—	`conf`	LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. MICCAI (7) Amogh Hiremath, Lei Yuan, Rakesh Shiradkar, Kaustav Bera, Vidya Sankar Viswanathan, Pranjal Vaidya, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi
2021	—	`ed.`	Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings ML-CDS@MICCAI Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang
2021	J	`jnl`	Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. CoRR Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia B. Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
2021	—	`conf`	SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach. MICCAI (3) Amir Reza Sadri, Sepideh Azarianpour Esfahani, Prathyush Chirra, Jacob Antunes, Pavithran Pattiam Giriprakash, Patrick Leo, Anant Madabhushi, Satish E. Viswanath
2021	J	`jnl`	Special issue on computational pathology: An overview. Medical Image Anal. Anant Madabhushi, Constantino Carlos Reyes-Aldasoro
2020	—	`conf`	A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer. Computer-Aided Diagnosis Amogh Hiremath, Rakesh Shiradkar, Nathaniel Braman, Prateek Prasanna, Ardeshir R. Rastinehad, Andrei S. Purysko, Anant Madabhushi
2020	J	`jnl`	A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020	J	`jnl`	Automated gleason grading on prostate biopsy slides by statistical representations of homology profile. Comput. Methods Programs Biomed. Chaoyang Yan, Kazuaki Nakane, Xiangxue Wang, Yao Fu, Haoda Lu, Xiangshan Fan, Michael D. Feldman, Anant Madabhushi, Jun Xu
2020	J	`jnl`	Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. Frontiers Comput. Neurosci. Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
2020	J	`jnl`	Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. CoRR Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari
2020	—	`conf`	Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. Digital Pathology Ruiwen Ding, Prateek Prasanna, Germán Corredor, Cheng Lu, Priya Velu, Khoi Le, Patrick Leo, Niha G. Beig, Vamsidhar Velcheti, David L. Rimm, Kurt A. Schalper, Anant Madabhushi
2020	—	`conf`	Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation. Digital Pathology Sara ArabYarmohammadi, Zelin Zhang, Patrick Leo, Marjan Firouznia, Andrew Janowczyk, Haojia Li, Nathaniel M. Braman, Kaustav Bera, Behtash G. Nezami, Howard Meyerson, Jun Xu, Leland Metheny, Anant Madabhushi
2020	—	`conf`	Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy. Digital Pathology Sepideh Azarianpour, Germán Corredor, Kaustav Bera, Patrick Leo, Nathaniel Braman, Pingfu Fu, Haider Mahdi, Anant Madabhushi
2020	J	`jnl`	Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. CoRR Nathaniel Braman, Mohammed El Adoui, Manasa Vulchi, Paulette Turk, Maryam Etesami, Pingfu Fu, Kaustav Bera, Stylianos Drisis, Vinay Varadan, Donna Plecha, Mohammed Benjelloun, Jame Abraham, Anant Madabhushi
2020	J	`jnl`	MRQy: An Open-Source Tool for Quality Control of MR Imaging Data. CoRR Amir Reza Sadri, Andrew Janowczyk, Ren Zou, Ruchika Verma, Jacob Antunes, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
2020	—	`conf`	Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers. Computer-Aided Diagnosis Amrish Selvam, Jacob Antunes, Kaustav Bera, Asya Ofshteyn, Justin T. Brady, Katherine Bingmer, Kenneth Friedman, Sharon L. Stein, Rajmohan Paspulati, Andrei S. Purysko, Matthew Kalady, Anant Madabhushi, Satish E. Viswanath
2020	—	`ed.`	Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings ML-CDS/CLIP@MICCAI Tanveer F. Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Marius Erdt
2020	—	`conf`	Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results. Computer-Aided Diagnosis Rakesh Shiradkar, Ruyuan Zuo, Amr Mahran, Lee Ponsky, Sree Harsha Tirumani, Anant Madabhushi
2020	—	`conf`	Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images. Digital Pathology Shayan Monabbati, Patrick Leo, Kaustav Bera, Behtash G. Nezami, Claire W. Michael, Aparna Harbhajanka, Anant Madabhushi
2020	—	`conf`	Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer. Digital Pathology Can Fahrettin Koyuncu, Andrew Janowczyk, Cheng Lu, Patrick Leo, Mehdi Alilou, Adam K. Glaser, Nicholas P. Reder, Jonathan T. C. Liu, Anant Madabhushi
2019	—	`conf`	A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study. Computer-Aided Diagnosis Mohammadhadi Khorrami, Mehdi Alilou, Prateek Prasanna, Pradnya Patil, Pirya Velu, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi
2019	J	`jnl`	Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study. BMC Medical Imaging Satish Viswanath, Prathyush Chirra, Michael Yim, Neil M. Rofsky, Andrei S. Purysko, Mark A. Rosen, B. Nicolas Bloch, Anant Madabhushi
2019	—	`conf`	Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. Computer-Aided Diagnosis Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ashley Margol, Ruchika Verma, Ramon Correa, Prateek Prasanna, Niha G. Beig, Kaustav Bera, Volodymyr Statsevych, Alexander R. Judkins, Anant Madabhushi, Pallavi Tiwari
2019	—	`conf`	Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule. ECDP Jun Xu, Haoda Lu, Haixin Li, Xiangxue Wang, Anant Madabhushi, Yujun Xu
2019	—	`conf`	Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation. Image-Guided Procedures Siddhartha Nanda, Jacob T. Antunes, Amrish Selvam, Kaustav Bera, Justin T. Brady, Jayakrishna Gollamudi, Kenneth Friedman, Joseph E. Willis, Conor P. Delaney, Raj M. Paspulati, Anant Madabhushi, Satish E. Viswanath
2019	—	`ed.`	Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings iMIMIC/ML-CDS@MICCAI Kenji Suzuki, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi
2019	—	`conf`	Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: preliminary findings. Biomedical Applications in Molecular, Structural, and Functional Imaging Prateek Prasanna, Justis Ehlers, Nathaniel Braman, Natalia Figueredo, Vishal Bobba, Sumit Sharma, Sunil Srivastava, Anant Madabhushi
2019	—	`conf`	Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net. ECDP Jun Xu, Chengfei Cai, Yangshu Zhou, Bo Yao, Geyang Xu, Xiangxue Wang, Ke Zhao, Anant Madabhushi, Zaiyi Liu, Li Liang
2019	—	`conf`	Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer. Digital Pathology Cristian Barrera, Germán Corredor, Xiangxue Wang, Kurt A. Schalper, David L. Rimm, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero Castro
2019	—	`conf`	Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival. Computer-Aided Diagnosis Mehdi Alilou, Pranjal Vaidya, Mohammadhadi Khorrami, Alexia Zagouras, Pradnya Patil, Kaustav Bera, Pingfu Fu, Vamsidhar Velcheti, Anant Madabhushi
2019	—	`conf`	Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways. Computer-Aided Diagnosis Niha G. Beig, Prateek Prasanna, Virginia B. Hill, Ruchika Verma, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
2019	—	`conf`	Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation. Image-Guided Procedures Michael C. Yim, ZhouPing Wei, Jacob Antunes, Neil K. R. Sehgal, Kaustav Bera, Justin T. Brady, Kenneth Friedman, Joseph E. Willis, Andrei S. Purysko, Raj M. Paspulati, Anant Madabhushi, Satish E. Viswanath
2019	—	`conf`	Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score. Computer-Aided Diagnosis Lin Li, Rakesh Shiradkar, Ahmad Algohary, Patrick Leo, Cristina Magi-Galluzzi, Eric Klein, Andrei S. Purysko, Anant Madabhushi
2019	—	`conf`	Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma. Computer-Aided Diagnosis Ruchika Verma, Ramon Correa, Virginia B. Hill, Niha G. Beig, Abdelkader Mahammedi, Anant Madabhushi, Pallavi Tiwari
2019	—	`conf`	Response Estimation Through Spatially Oriented Neural Network and Texture Ensemble (RESONATE). MICCAI (4) Jeffrey E. Eben, Nathaniel Braman, Anant Madabhushi
2019	—	`conf`	STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI. MICCAI (4) Jacob Antunes, ZhouPing Wei, Charlems Álvarez Jimenez, Eduardo Romero, Marwa Ismail, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
2019	—	`conf`	Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings. Biomedical Applications in Molecular, Structural, and Functional Imaging Prateek Prasanna, Justis Ehlers, Vishal Bobba, Natalia Figueredo, Cheng Lu, Sumit Sharma, Sunil Srivastava, Anant Madabhushi
2018	—	`conf`	A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI. Computer-Aided Diagnosis Kavya Ravichandran, Nathaniel Braman, Andrew Janowczyk, Anant Madabhushi
2018	J	`jnl`	A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Andrew Janowczyk, Scott Doyle, Hannah Gilmore, Anant Madabhushi
2018	—	`conf`	A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images. Digital Pathology Germán Corredor, Xiangxue Wang, Cheng Lu, Vamsidhar Velcheti, Eduardo Romero, Anant Madabhushi
2018	—	`conf`	Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients. Digital Pathology Patrick Leo, Eswar Shankar, Robin Elliott, Andrew Janowczyk, Anant Madabhushi, Sanjay Gupta
2018	—	`ed.`	Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings DLMIA/ML-CDS@MICCAI Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi
2018	—	`conf`	Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI. Computer-Aided Diagnosis Prathyush Chirra, Patrick Leo, Michael Yim, B. Nicolas Bloch, Ardeshir R. Rastinehad, Andrei S. Purysko, Mark Rosen, Anant Madabhushi, Satish Viswanath
2018	—	`conf`	Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer. MICCAI (2) Cheng Lu, Xiangxue Wang, Prateek Prasanna, Germán Corredor, Geoffrey Sedor, Kaustav Bera, Vamsidhar Velcheti, Anant Madabhushi
2018	—	`conf`	RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer. Digital Pathology Pranjal Vaidya, Xiangxue Wang, Kaustav Bera, Arjun Khunger, Humberto Choi, Pradnya Patil, Vamsidhar Velcheti, Anant Madabhushi
2018	—	`conf`	Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response. MICCAI (2) Nathaniel Braman, Prateek Prasanna, Mehdi Alilou, Niha G. Beig, Anant Madabhushi
2017	—	`conf`	A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images. SIPAIM Juan D. García-Arteaga, Germán Corredor, Xiangxue Wang, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero
2017	—	`ch.`	Deep Learning Tissue Segmentation in Cardiac Histopathology Images. Deep Learning for Medical Image Analysis Jeffrey J. Nirschl, Andrew Janowczyk, Eliot G. Peyster, Renee Frank, Kenneth B. Margulies, Michael D. Feldman, Anant Madabhushi
2017	—	`ed.`	Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings DLMIA/ML-CDS@MICCAI M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017	J	`jnl`	Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases. BMC Medical Imaging Satish Viswanath, Pallavi Tiwari, George Lee, Anant Madabhushi
2017	—	`conf`	Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI. MICCAI (2) Soumya Ghose, Rakesh Shiradkar, Mirabela Rusu, Jhimli Mitra, Rajat Thawani, Michael D. Feldman, Amar Gupta, Andrei S. Purysko, Lee Ponsky, Anant Madabhushi
2017	—	`conf`	Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT. MICCAI (3) Mehdi Alilou, Mahdi Orooji, Anant Madabhushi
2017	—	`conf`	Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes. SIPAIM Paula Toro, Germán Corredor, Xiangxue Wang, Viviana Arias, Vamsidhar Velcheti, Anant Madabhushi, Eduardo Romero
2017	—	`conf`	RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction. MICCAI (2) Jacob Antunes, Prateek Prasanna, Anant Madabhushi, Pallavi Tiwari, Satish Viswanath
2017	—	`conf`	Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. Computer-Aided Diagnosis Niha G. Beig, Jay Patel, Prateek Prasanna, Sasan Partovi, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
2017	—	`conf`	Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis. MICCAI (2) Prateek Prasanna, Jhimli Mitra, Niha G. Beig, Sasan Partovi, Gagandeep Singh, Marco Pinho, Anant Madabhushi, Pallavi Tiwari
2017	J	`jnl`	Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology. Comput. Medical Imaging Graph. Andrew Janowczyk, Ajay Basavanhally, Anant Madabhushi
2016	J	`jnl`	A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. Neurocomputing Jun Xu, Xiaofei Luo, Guanhao Wang, Hannah Gilmore, Anant Madabhushi
2016	—	`conf`	Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images. Digital Pathology David Romo-Bucheli, Andrew Janowczyk, Eduardo Romero, Hannah Gilmore, Anant Madabhushi
2016	—	`conf`	Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images. Digital Pathology Patrick Leo, George Lee, Anant Madabhushi
2016	J	`jnl`	Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology. IEEE Trans. Medical Imaging Shoshana B. Ginsburg, George Lee, Sahirzeeshan Ali, Anant Madabhushi
2016	J	`jnl`	Image analysis and machine learning in digital pathology: Challenges and opportunities. Medical Image Anal. Anant Madabhushi, George Lee
2016	—	`ed.`	Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February - 3 March 2016 Digital Pathology Metin N. Gurcan, Anant Madabhushi
2016	B	`conf`	Multi-modality registration via multi-scale textural and spectral embedding representations. Image Processing Lin Li, Mirabela Rusu, Satish Viswanath, Gregory Penzias, Shivani Pahwa, Jay Gollamudi, Anant Madabhushi
2016	J	`jnl`	Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images. IEEE Trans. Medical Imaging Jun Xu, Lei Xiang, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, Anant Madabhushi
2015	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Anal. Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
2015	—	`conf`	Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma. MICCAI (1) Sebastian Otálora, Angel Cruz-Roa, John Edison Arevalo Ovalle, Manfredo Atzori, Anant Madabhushi, Alexander R. Judkins, Fabio A. González, Henning Müller, Adrien Depeursinge
2015	—	`ed.`	Medical Imaging 2015: Digital Pathology, Orlando, Florida, United States, 21-26 February 2015 Digital Pathology Metin N. Gurcan, Anant Madabhushi
2015	J	`jnl`	Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays. Comput. Medical Imaging Graph. Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi
2015	J	`jnl`	Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. Comput. Medical Imaging Graph. Jun Xu, Lei Xiang, Guanhao Wang, Shridar Ganesan, Michael D. Feldman, Natalie N. C. Shih, Hannah Gilmore, Anant Madabhushi
2015	J	`jnl`	Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer. IEEE Trans. Medical Imaging George Lee, Asha Singanamalli, Haibo Wang, Michael D. Feldman, Stephen R. Master, Natalie N. C. Shih, Elaine Spangler, Timothy R. Rebbeck, John Tomaszewski, Anant Madabhushi
2014	J	`jnl`	A domain constrained deformable (DoCD) model for co-registration of pre- and post-radiated prostate MRI. Neurocomputing Robert Toth, Bryan J. Traughber, Rodney J. Ellis, John Kurhanewicz, Anant Madabhushi
2014	J	`jnl`	A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders. Neurocomputing Tao Wan, B. Nicolas Bloch, Shabbar Danish, Anant Madabhushi
2014	—	`conf`	A prostate MRI atlas of biochemical failures following cancer treatment. Computer-Aided Diagnosis Mirabela Rusu, John Kurhanewicz, Ashutosh Tewari, Anant Madabhushi
2014	J	`jnl`	Assessment of algorithms for mitosis detection in breast cancer histopathology images. CoRR Mitko Veta, Paul J. van Diest, Stefan M. Willems, Haibo Wang, Anant Madabhushi, Angel Cruz-Roa, Fabio A. González, Anders Boesen Lindbo Larsen, Jacob S. Vestergaard, Anders B. Dahl, Dan C. Ciresan, Jürgen Schmidhuber, Alessandro Giusti, Luca Maria Gambardella, Faik Boray Tek, Thomas Walter, Ching-Wei Wang, Satoshi Kondo, Bogdan J. Matuszewski, Frédéric Precioso, Violet Snell, Josef Kittler, Teófilo Emídio de Campos, Adnan Mujahid Khan, Nasir M. Rajpoot, Evdokia Arkoumani, Miangela M. Lacle, Max A. Viergever, Josien P. W. Pluim
2014	—	`conf`	Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. Digital Pathology Angel Cruz-Roa, Ajay Basavanhally, Fabio A. González, Hannah Gilmore, Michael D. Feldman, Shridar Ganesan, Natalie Shih, John Tomaszewski, Anant Madabhushi
2014	—	`conf`	Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection. Digital Pathology Haibo Wang, Angel Cruz-Roa, Ajay Basavanhally, Hannah Gilmore, Natalie Shih, Mike Feldman, John Tomaszewski, Fabio A. González, Anant Madabhushi
2014	—	`conf`	Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI. MICCAI (3) Prateek Prasanna, Pallavi Tiwari, Anant Madabhushi
2014	—	`conf`	Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer. Computer-Aided Diagnosis Shoshana B. Ginsburg, Mirabela Rusu, John Kurhanewicz, Anant Madabhushi
2014	—	`conf`	Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation. Image-Guided Procedures Geert Litjens, Henkjan J. Huisman, R. Elliott, Natalie Shih, Michael D. Feldman, Satish Viswanath, Jurgen J. Fütterer, J. Bomers, Anant Madabhushi
2014	—	`conf`	Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI. Computer-Aided Diagnosis Geert J. S. Litjens, R. Elliott, Natalie Shih, Michael D. Feldman, Jelle O. Barentsz, Christina A. Hulsbergen van de Kaa, Iringo Kovacs, Henkjan J. Huisman, Anant Madabhushi
2014	J	`jnl`	Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge. Medical Image Anal. Geert Litjens, Robert Toth, Wendy J. M. van de Ven, Caroline Hoeks, Sjoerd Kerkstra, Bram van Ginneken, Graham Vincent, Gwenaël Guillard, Neil Birbeck, Jindang Zhang, Robin Strand, Filip Malmberg, Yangming Ou, Christos Davatzikos, Matthias Kirschner, Florian Jung, Jing Yuan, Wu Qiu, Qinquan Gao, Philip J. Edwards, Bianca Maan, Ferdinand van der Heijden, Soumya Ghose, Jhimli Mitra, Jason Dowling, Dean C. Barratt, Henkjan J. Huisman, Anant Madabhushi
2014	—	`conf`	Identifying MRI markers to evaluate early treatment-related changes post-laser ablation for cancer pain management. Image-Guided Procedures Pallavi Tiwari, Shabbar Danish, Anant Madabhushi
2014	J	`jnl`	Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer. Neurocomputing Satish Viswanath, Robert Toth, Mirabela Rusu, Dan Sperling, Herbert Lepor, Jurgen J. Fütterer, Anant Madabhushi
2014	—	`ed.`	Medical Imaging 2014: Digital Pathology, San Diego, California, United States, 15-20 February 2014 Digital Pathology Metin N. Gurcan, Anant Madabhushi
2014	—	`conf`	Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis. MICCAI (3) Haibo Wang, Asha Singanamalli, Shoshana Ginsburg, Anant Madabhushi
2014	B	`conf`	Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation. Image Processing Mahdi Orooji, Rachel Sparks, B. Nicolas Bloch, Ernest J. Feleppa, Dean C. Barratt, Anant Madabhushi
2014	B	`conf`	Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI. Image Processing Eileen Hwuang, Mirabela Rusu, Sudha Karthigeyan, Shannon Agner, Rachel Sparks, Natalie Shih, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
2014	—	`conf`	Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI. Computer-Aided Diagnosis Pallavi Tiwari, Prateek Prasanna, Lisa Rogers, Leo Wolansky, Chaitra Badve, Andrew Sloan, Mark Cohen, Anant Madabhushi
2013	—	`conf`	A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection. MICCAI (2) Angel Alfonso Cruz-Roa, John Edison Arevalo Ovalle, Anant Madabhushi, Fabio Augusto González Osorio
2013	B	`conf`	A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations. Image Processing Tao Wan, B. Nicolas Bloch, Shabbar Danish, Anant Madabhushi
2013	—	`conf`	A statistical deformation model (SDM) based regularizer for non-rigid image registration: application to registration of multimodal prostate MRI and histology. Digital Pathology Srivathsan Babu Prabu, Robert Toth, Anant Madabhushi
2013	—	`conf`	Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation. EMBC Eileen Hwuang, Shabbar Danish, Mirabela Rusu, Rachel Sparks, Robert Toth, Anant Madabhushi
2013	—	`conf`	Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays. MICCAI (3) George Lee, Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi
2013	—	`conf`	Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays. Digital Pathology Sahirzeeshan Ali, Robert Veltri, Jonathan A. Epstein, Christhunesa Christudass, Anant Madabhushi
2013	—	`conf`	Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer. ISBI George Lee, Rachel Sparks, Sahirzeeshan Ali, Anant Madabhushi, Michael D. Feldman, Stephen R. Master, Natalie Shih, John Tomaszewski
2013	—	`conf`	Decision support system for detection of diabetic retinopathy using smartphones. PervasiveHealth Prateek Prasanna, Shubham Jain, Neelakshi Bhagat, Anant Madabhushi
2013	—	`conf`	Discriminatively weighted multi-scale Local Binary Patterns: Applications in prostate cancer diagnosis on T2W MRI. ISBI Haibo Wang, Satish Viswanath, Anant Madabhushi
2013	—	`conf`	EM-based segmentation-driven color standardization of digitized histopathology. Digital Pathology Ajay Basavanhally, Anant Madabhushi
2013	J	`jnl`	Explicit shape descriptors: Novel morphologic features for histopathology classification. Medical Image Anal. Rachel Sparks, Anant Madabhushi
2013	—	`conf`	Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric. Image-Guided Procedures Rachel Sparks, B. Nicolas Bloch, Ernest J. Feleppa, Dean C. Barratt, Anant Madabhushi
2013	—	`conf`	Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. Digital Pathology Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
2013	—	`conf`	Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI. Computer-Aided Diagnosis Shoshana B. Ginsburg, B. Nicolas Bloch, Neil M. Rofsky, Elizabeth M. Genega, Robert E. Lenkinski, Anant Madabhushi
2013	—	`conf`	Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications. ISBI Tao Wan, B. Nicolas Bloch, Shabbar Danish, Anant Madabhushi
2013	—	`ed.`	Medical Imaging 2013: Digital Pathology, Lake Buena Vista (Orlando Area), Florida, United States, 9-14 February 2013 Digital Pathology Metin N. Gurcan, Anant Madabhushi
2013	B	`conf`	Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient. Image Processing Haibo Wang, Mirabela Rusu, Thea Golden, Andrew J. Gow, Anant Madabhushi
2013	J	`jnl`	Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. IEEE Trans. Biomed. Eng. Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, Natalie Shih, Carolyn Mies, John Tomaszewski, Anant Madabhushi
2013	J	`jnl`	Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS. Medical Image Anal. Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi
2013	—	`conf`	Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy. Image-Guided Procedures Pallavi Tiwari, Shabbar Danish, Stephen Wong, Anant Madabhushi
2013	—	`conf`	Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer. Image-Guided Procedures Satish Viswanath, Robert Toth, Mirabela Rusu, Dan Sperling, Herbert Lepor, Jurgen J. Fütterer, Anant Madabhushi
2013	J	`jnl`	Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets. Comput. Vis. Image Underst. Robert Toth, Justin Ribault, John Gentile, Dan Sperling, Anant Madabhushi
2013	—	`conf`	Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors. MICCAI (1) Sahirzeeshan Ali, James Lewis, Anant Madabhushi
2013	B	`conf`	Statistical 3D prostate imaging atlas construction via anatomically constrained registration. Image Processing Mirabela Rusu, B. Nicolas Bloch, C. Carl Jaffe, Neil Rofsky, Elizabeth Genega, Ernest J. Feleppa, Robert E. Lenkinski, Anant Madabhushi
2013	J	`jnl`	Statistical shape model for manifold regularization: Gleason grading of prostate histology. Comput. Vis. Image Underst. Rachel Sparks, Anant Madabhushi
2013	—	`conf`	Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology. MICCAI (2) Shoshana Ginsburg, Sahirzeeshan Ali, George Lee, Ajay Basavanhally, Anant Madabhushi
2012	J	`jnl`	A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies. IEEE Trans. Biomed. Eng. Scott Doyle, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2012	—	`conf`	A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides. MICCAI (1) Angel Cruz-Roa, Fabio A. González, Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi, Eduardo Romero
2012	J	`jnl`	An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery. IEEE Trans. Medical Imaging Sahirzeeshan Ali, Anant Madabhushi
2012	J	`jnl`	Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. BMC Bioinform. Scott Doyle, Michael D. Feldman, Natalie Shih, John Tomaszewski, Anant Madabhushi
2012	J	`jnl`	Class-specific weighting for Markov random field estimation: Application to medical image segmentation. Medical Image Anal. James Monaco, Anant Madabhushi
2012	J	`jnl`	Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data. BMC Bioinform. Satish Viswanath, Anant Madabhushi
2012	J	`jnl`	Editorial: TBME Letters Special Section on Multiscale Biomedical Signal and Image Modeling and Analysis. IEEE Trans. Biomed. Eng. Sergio Cerutti, Anant Madabhushi, Shishir K. Shah, Ki H. Chon
2012	—	`conf`	Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds. Computer-Aided Diagnosis Rachel Sparks, Anant Madabhushi
2012	J	`jnl`	High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts. IEEE Trans. Biomed. Eng. Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi
2012	—	`conf`	Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei. MICCAI (1) James Monaco, Jennifer A. Hipp, D. Lucas, S. Smith, Ulysses J. Balis, Anant Madabhushi
2012	—	`conf`	Image segmentation with implicit color standardization using cascaded EM: Detection of myelodysplastic syndromes. ISBI James Monaco, Philipp W. Raess, Ronak Chawla, Adam Bagg, Mitchell Weiss, John Choi, Anant Madabhushi
2012	—	`conf`	Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework. Computer-Aided Diagnosis Robert Toth, Jonathan Chappelow, Christoph Vetter, Oliver Kutter, Christoph Russ, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi
2012	J	`jnl`	Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation. IEEE Trans. Medical Imaging Robert Toth, Anant Madabhushi
2011	—	`conf`	A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. ISBI Ajay Basavanhally, Shridar Ganesan, Natalie Shih, Carolyn Mies, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011	J	`jnl`	A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Anal. Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
2011	J	`jnl`	A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation. Medical Image Anal. Robert Toth, Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi
2011	—	`conf`	Active Contour for Overlap Resolution using Watershed BASED initialization (ACOReW): Applications to histopathology. ISBI Sahirzeeshan Ali, Anant Madabhushi
2011	—	`conf`	Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer. MICCAI (1) Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi
2011	—	`conf`	Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data. MICCAI (3) Gaoyu Xiao, Anant Madabhushi
2011	J	`jnl`	An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. BMC Bioinform. Scott Doyle, James Monaco, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011	—	`conf`	An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas. EMBC Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi
2011	—	`conf`	Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology. ISBI Akshay Sridhar, Scott Doyle, Anant Madabhushi
2011	—	`conf`	CADOnc ©: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI. ISBI Satish Viswanath, Pallavi Tiwari, Jonathan Chappelow, Robert Toth, John Kurhanewicz, Anant Madabhushi
2011	—	`conf`	Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology. ISBI Scott Doyle, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi
2011	J	`jnl`	Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comput. Medical Imaging Graph. Anant Madabhushi, Shannon Agner, Ajay Basavanhally, Scott Doyle, George Lee
2011	B	`conf`	Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology. Image Processing Rachel Sparks, Anant Madabhushi
2011	—	`conf`	Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models. EMBC Elaine Yu, James P. Monaco, John Tomaszewski, Natalie Shih, Michael D. Feldman, Anant Madabhushi
2011	J	`jnl`	Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Comput. Medical Imaging Graph. Gaoyu Xiao, B. Nicolas Bloch, Jonathan Chappelow, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, John Tomaszewski, Michael D. Feldman, Mark Rosen, Anant Madabhushi
2011	—	`conf`	Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI. Computer-Aided Diagnosis Satish Viswanath, Daniel Palumbo, Jonathan Chappelow, Pratik Patel, B. Nicolas Bloch, Neil Rofsky, Robert E. Lenkinski, Elizabeth Genega, Anant Madabhushi
2011	—	`conf`	Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI. Computer-Aided Diagnosis Satish Viswanath, B. Nicolas Bloch, Jonathan Chappelow, Pratik Patel, Neil Rofsky, Robert E. Lenkinski, Elizabeth Genega, Anant Madabhushi
2011	—	`conf`	Evaluating feature selection strategies for high dimensional, small sample size datasets. EMBC Abhishek Golugula, George Lee, Anant Madabhushi
2011	J	`jnl`	HistoStitcher Comput. Medical Imaging Graph. Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Natalie Shih, Anant Madabhushi
2011	—	`conf`	Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. Computer-Aided Diagnosis Ajay Basavanhally, Elaine Yu, Jun Xu, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011	B	`conf`	Integrating an adaptive region-based appearance model with a landmark-free statistical shape model: application to prostate MRI segmentation. Image Processing Robert Toth, Julie Bulman, Amish D. Patel, B. Nicolas Bloch, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, Anant Madabhushi
2011	—	`conf`	Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI. EMBC Daniel Palumbo, Brian Yee, Patrick O'Dea, Shane Leedy, Satish Viswanath, Anant Madabhushi
2011	—	`conf`	Linked statistical shape models for multi-modal segmentation: application to prostate CT-MR segmentation in radiotherapy planning. Computer-Aided Diagnosis Najeeb Chowdhury, Jonathan Chappelow, Robert Toth, Sung Kim, Stephen Hahn, Neha Vapiwala, Haibo Lin, Stefan Both, Anant Madabhushi
2011	B	`conf`	Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs. Image Processing Andrew Janowczyk, Sharat Chandran, Michael D. Feldman, Anant Madabhushi
2011	—	`conf`	Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI. ISBI Robert Toth, Rachel Sparks, Anant Madabhushi
2011	—	`conf`	Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data. ISBI Pallavi Tiwari, Satish Viswanath, George Lee, Anant Madabhushi
2011	—	`conf`	Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading. ISBI Rachel Sparks, Anant Madabhushi
2011	—	`ed.`	Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011. Proceedings Prostate Cancer Imaging Anant Madabhushi, Jason Dowling, Henkjan J. Huisman, Dean C. Barratt
2011	B	`conf`	Segmenting multiple overlapping objects via a hybrid active contour model incorporating shape priors: applications to digital pathology. Image Processing Sahirzeeshan Ali, Anant Madabhushi
2011	—	`conf`	Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI. EMBC Pratik Patel, Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Mark Rosen, Natalie Shih, Anant Madabhushi
2011	—	`conf`	Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI. Computer-Aided Diagnosis Shannon Agner, Jun Xu, Mark Rosen, Sudha Karthigeyan, Sarah Englander, Anant Madabhushi
2011	J	`jnl`	Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery. BMC Bioinform. Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John Tomaszewski, David W. Speicher, Anant Madabhushi
2011	—	`conf`	Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures. EMBC Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2011	J	`jnl`	Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification. J. Digit. Imaging Shannon Agner, Salil Soman, Edward Libfeld, Margie McDonald, Kathleen Thomas, Sarah Englander, Mark A. Rosen, Deanna Chin, John L. Nosher, Anant Madabhushi
2011	—	`conf`	Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading. Prostate Cancer Imaging Shoshana Ginsburg, Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi
2011	—	`conf`	Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate. Prostate Cancer Imaging Pallavi Tiwari, Satish Viswanath, John Kurhanewicz, Anant Madabhushi
2011	J	`jnl`	Weighted Maximum Posterior Marginals for Random Fields Using an Ensemble of Conditional Densities From Multiple Markov Chain Monte Carlo Simulations. IEEE Trans. Medical Imaging James Monaco, Anant Madabhushi
2010	B	`conf`	A structural-functional MRI-based disease atlas: application to computer-aided-diagnosis of prostate cancer. Image Processing Gaoyu Xiao, B. Nicolas Bloch, Jonathan Chappelow, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, Anant Madabhushi
2010	B	`conf`	A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation. Image Processing Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi
2010	—	`conf`	An integrated framework for analyzing three-dimensional shape differences: evaluating prostate morphometry. ISBI Rachel Sparks, Robert Toth, Jonathan Chappelow, Gaoyu Xiao, Anant Madabhushi
2010	—	`conf`	Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. ISBI Anant Madabhushi, Ajay Basavanhally, Scott Doyle, Shannon Agner, George Lee
2010	—	`conf`	Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI. Image-Guided Procedures Jonathan Chappelow, Stefan Both, Satish Viswanath, Stephen Hahn, Michael D. Feldman, Mark Rosen, John Tomaszewski, Neha Vapiwala, Pratik Patel, Anant Madabhushi
2010	J	`jnl`	Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. Ajay Basavanhally, Shridar Ganesan, Shannon Agner, James Monaco, Michael D. Feldman, John Tomaszewski, Gyan Bhanot, Anant Madabhushi
2010	—	`conf`	Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis. PRIB Scott Doyle, Anant Madabhushi
2010	—	`conf`	Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. ISBI Scott Doyle, James Monaco, Anant Madabhushi, Stefan Lindholm, Patric Ljung, Lance Ladic, John Tomaszewski, Michael D. Feldman
2010	J	`jnl`	Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. IEEE Trans. Biomed. Eng. Hussain Fatakdawala, Jun Xu, Ajay Basavanhally, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2010	—	`conf`	High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Prostate Cancer Imaging Jun Xu, Rachel Sparks, Andrew Janowczyk, John Tomaszewski, Michael D. Feldman, Anant Madabhushi
2010	J	`jnl`	High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Anal. James Monaco, John Tomaszewski, Michael D. Feldman, Ian S. Hagemann, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
2010	—	`conf`	Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation. MICCAI (3) Jun Xu, James Monaco, Anant Madabhushi
2010	—	`conf`	Multi-attribute combined mutual information (MACMI): an image registration framework for leveraging multiple data channels. ISBI Jonathan Chappelow, Anant Madabhushi
2010	—	`conf`	Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning. MICCAI (3) Rachel Sparks, Anant Madabhushi
2010	—	`conf`	Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. ICPR Contests Metin N. Gurcan, Anant Madabhushi, Nasir M. Rajpoot
2010	—	`conf`	Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. ISBI Ajay Basavanhally, Scott Doyle, Anant Madabhushi
2010	—	`ed.`	Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010. Proceedings Prostate Cancer Imaging Anant Madabhushi, Jason Dowling, Pingkun Yan, Aaron Fenster, Purang Abolmaesumi, Nobuhiko Hata
2010	—	`conf`	Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy. MICCAI (3) Pallavi Tiwari, John Kurhanewicz, Mark Rosen, Anant Madabhushi
2010	—	`conf`	Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data. PRIB George Lee, Anant Madabhushi
2009	—	`conf`	A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology. ISBI George Lee, Scott Doyle, James Monaco, Michael D. Feldman, Stephen R. Master, John Tomaszewski, Anant Madabhushi
2009	—	`conf`	A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. Computer-Aided Diagnosis Jay Naik, Scott Doyle, Ajay Basavanhally, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2009	B	`conf`	COLLINARUS: collection of image-derived non-linear attributes for registration using splines. Image Processing Jonathan Chappelow, B. Nicolas Bloch, Neil Rofsky, Elizabeth Genega, Robert E. Lenkinski, William DeWolf, Satish Viswanath, Anant Madabhushi
2009	—	`conf`	Classifying Ayurvedic Pulse Signals Via Consensus Locally Linear Embedding. BIOSIGNALS Amod Jog, Aniruddha J. Joshi, Sharat Chandran, Anant Madabhushi
2009	—	`conf`	Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. ISBI Ajay Basavanhally, Jun Xu, Shridar Ganesan, Anant Madabhushi
2009	C	`conf`	Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. BIBE Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi
2009	—	`conf`	Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. MICCAI (1) Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi
2009	—	`conf`	Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI. Computer-Aided Diagnosis Satish Viswanath, B. Nicolas Bloch, Mark Rosen, Jonathan Chappelow, Robert Toth, Neil Rofsky, Robert E. Lenkinski, Elizabeth Genega, Arjun Kalyanpur, Anant Madabhushi
2009	B	`conf`	Probabilistic pairwise Markov models: application to prostate cancer detection. Image Processing James Monaco, John Tomaszewski, Michael D. Feldman, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi
2009	—	`conf`	Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. ISBI Shannon Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell D. Schnall, Michael D. Feldman, John Tomaszewski
2009	—	`conf`	Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data. MICCAI (1) Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Anant Madabhushi
2009	B	`conf`	WERITAS: weighted ensemble of regional image textures for ASM segmentation. Image Processing Robert Toth, Scott Doyle, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, B. Nicolas Bloch, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, Anant Madabhushi
2008	—	`conf`	A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI. MICCAI (1) Satish Viswanath, B. Nicolas Bloch, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, Jonathan Chappelow, Robert Toth, Anant Madabhushi
2008	—	`conf`	A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery. Computer-Aided Diagnosis Satish Viswanath, Mark Rosen, Anant Madabhushi
2008	—	`conf`	A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging. Computer-Aided Diagnosis Satish Viswanath, Pallavi Tiwari, Mark Rosen, Anant Madabhushi
2008	B	`conf`	A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models. Image Processing Robert Toth, Pallavi Tiwari, Mark Rosen, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi
2008	—	`conf`	Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. ISBI Shivang Naik, Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2008	—	`conf`	Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features. ISBI Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2008	—	`conf`	Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. MICCAI (2) Pallavi Tiwari, Mark Rosen, Anant Madabhushi
2008	J	`jnl`	Image filtering via generalized scale. Medical Image Anal. Andre D. A. Souza, Jayaram K. Udupa, Anant Madabhushi
2008	—	`conf`	Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer. Computer-Aided Diagnosis Jonathan Chappelow, Satish Viswanath, James Monaco, Mark Rosen, John Tomaszewski, Michael D. Feldman, Anant Madabhushi
2008	J	`jnl`	Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies. IEEE ACM Trans. Comput. Biol. Bioinform. George Lee, Carlos Rodriguez, Anant Madabhushi
2008	—	`conf`	Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA). MICCAI (1) Robert Toth, Jonathan Chappelow, Mark Rosen, Sona Pungavkar, Arjun Kalyanpur, Anant Madabhushi
2008	—	`conf`	Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI. Computer-Aided Diagnosis Shannon C. Agner, Salil Soman, Edward Libfeld, Margie McDonald, Mark A. Rosen, Mitchell D. Schnall, Deanna Chin, John L. Nosher, Anant Madabhushi
2007	—	`conf`	A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration. ISBI Jonathan Chappelow, Anant Madabhushi, Mark Rosen, John Tomaszewski, Michael D. Feldman
2007	—	`conf`	A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS). MICCAI (2) Pallavi Tiwari, Anant Madabhushi, Mark Rosen
2007	—	`conf`	An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets. ISBRA George Lee, Carlos Rodriguez, Anant Madabhushi
2007	—	`conf`	Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. ISBI Scott Doyle, Mark I. Hwang, Kinsuk Shah, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2007	B	`conf`	Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection. Image Processing Jonathan Chappelow, Anant Madabhushi, Mark Rosen, John Tomaszewski, Michael D. Feldman
2006	—	`conf`	A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. MICCAI (2) Scott Doyle, Anant Madabhushi, Michael D. Feldman, John Tomaszewski
2006	—	`conf`	Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies. ICONIP (3) Yunfeng Wu, Cong Wang, Sin Chun Ng, Anant Madabhushi, Yixin Zhong
2006	—	`conf`	Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI. CVAMIA Anant Madabhushi, Jianbo Shi, Michael D. Feldman, Mark Rosen, John Tomaszewski
2006	—	`conf`	Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach. EMBC Scott Doyle, Carlos Rodriguez, Anant Madabhushi, John Tomaszewski, Michael D. Feldman
2006	—	`conf`	Distinguishing Lesions from Posterior Acoustic Shadowing in Breast Ultrasound via Non-Linear Dimensionality Reduction. EMBC Anant Madabhushi, Peng Yang, Mark Rosen, Susan Weinstein
2006	J	`jnl`	Generalized scale: Theory, algorithms, and application to image inhomogeneity correction. Comput. Vis. Image Underst. Anant Madabhushi, Jayaram K. Udupa, Andre D. A. Souza
2005	J	`jnl`	Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. IEEE Trans. Medical Imaging Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, John Tomaszewski, Deborah Chute
2005	B	`conf`	Generalized ball-scale: theory, algorithms, and application to image inhomogeneity correction. Image Processing Anant Madabhushi, Jayaram K. Udupa, Andre D. A. Souza
2005	B	`conf`	Generalized scale-based image filtering. Image Processing Andre D. A. Souza, Jayaram K. Udupa, Anant Madabhushi
2005	A	`conf`	Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer. MICCAI Anant Madabhushi, Jianbo Shi, Mark Rosen, John Tomaszewski, Michael D. Feldman
2005	J	`jnl`	Interplay between intensity standardization and inhomogeneity correction in MR image processing. IEEE Trans. Medical Imaging Anant Madabhushi, Jayaram K. Udupa
2005	B	`conf`	New methods of MR image intensity standardization via generalized scale. Image Processing Anant Madabhushi, Jayaram K. Udupa
2004	B	`conf`	Generalized scale: theory, algorithms, and application to image inhomogeneity correction. Image Processing Anant Madabhushi, Jayaram K. Udupa, Andre D. A. Souza
2003	—	`conf`	A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI. MICCAI (1) Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, Deborah Chute, John Tomaszewski
2003	J	`jnl`	Combining Low, High-Level and Empirical Domain Specific Knowledge for Automated Segmentation of Ultrasonic Breast Lesions. IEEE Trans. Medical Imaging Anant Madabhushi, Dimitris N. Metaxas
2003	B	`conf`	The interplay between intensity standardization and field inhomogeneity correction in MR image processing. Image Processing Anant Madabhushi, Jayaram K. Udupa
2002	—	`conf`	Automatic boundary extraction of ultrasonic breast lesions. ISBI Anant Madabhushi, Dimitris N. Metaxas
2002	B	`conf`	Automatic quantification of liver-heart cross-talk for quality assessment in SPECT myocardial perfusion imaging. Image Processing Guo-Qing Wei, Anant Madabhushi, Jian Zhong Qian, John C. Engdahl
2000	B	`conf`	Using Head Movement to Recognize Activity. ICPR Anant Madabhushi, J. K. Aggarwal