Mark Rosen - RankMe

34 papers A 1B 4Journal 6Unranked 23

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Adaptive convolutional neural networks for accelerating magnetic resonance imaging via Medical Image Anal. Tianming Du, Honggang Zhang, Yuemeng Li, Stephen Pickup, Mark Rosen, Rong Zhou, Hee Kwon Song, Yong Fan
2021	J	`jnl`	Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. J. Am. Medical Informatics Assoc. Matthew T. MacLean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey
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
2015	J	`jnl`	Pharmacokinetic Tumor Heterogeneity as a Prognostic Biomarker for Classifying Breast Cancer Recurrence Risk. IEEE Trans. Biomed. Eng. Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Elizabeth S. McDonald, Mark Rosen, Carolyn Mies, Michael D. Feldman, Despina Kontos
2015	—	`conf`	Quantification of tumor changes during neoadjuvant chemotherapy with longitudinal breast DCE-MRI registration. Computer-Aided Diagnosis Jia Wu, Yangming Ou, Susan P. Weinstein, Emily F. Conant, Ning Yu, Vahid Hoshmand, Brad M. Keller, Ahmed Bilal Ashraf, Mark Rosen, Angela DeMichele, Christos Davatzikos, Despina Kontos
2014	—	`conf`	Sparse representation of multi parametric DCE-MRI features using K-SVD for classifying gene expression based breast cancer recurrence risk. Computer-Aided Diagnosis Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Mark Rosen, Michael D. Feldman, Despina Kontos
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
2013	—	`conf`	Heterogeneity Wavelet Kinetics from DCE-MRI for Classifying Gene Expression Based Breast Cancer Recurrence Risk. MICCAI (2) Majid Mahrooghy, Ahmed Bilal Ashraf, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos
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
2011	—	`conf`	A Multichannel Markov Random Field Approach for Automated Segmentation of Breast Cancer Tumor in DCE-MRI Data Using Kinetic Observation Model. MICCAI (3) Ahmed Bilal Ashraf, Sara Gavenonis, Dania Daye, Carolyn Mies, Michael D. Feldman, Mark Rosen, Despina Kontos
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	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`	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
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	—	`conf`	Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE). MCV Peter Maday, Parmeshwar Khurd, Lance Ladic, Mitchell D. Schnall, Mark Rosen, Christos Davatzikos, Ali Kamen
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
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	—	`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 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`	Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy. MICCAI (2) Pallavi Tiwari, Mark Rosen, 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	—	`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
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	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`	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`	Distinguishing Lesions from Posterior Acoustic Shadowing in Breast Ultrasound via Non-Linear Dimensionality Reduction. EMBC Anant Madabhushi, Peng Yang, Mark Rosen, Susan Weinstein
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
1994	J	`jnl`	InAlAs/InGaAs HBT X-band double-balanced upconverter. IEEE J. Solid State Circuits Kevin W. Kobayashi, Liem T. Tran, Stacey Bui, Aaron K. Oki, Dwight C. Streit, Mark Rosen