Tanveer F. Syeda-Mahmood

149 papers A* 1B 6C 1Misc 9Journal 46Unranked 68

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation. IEEE Trans. Medical Imaging Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2025	—	`conf`	Evaluating Automated Radiology Report Quality Through Fine-Grained Phrasal Grounding of Clinical Findings. ISBI Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer F. Syeda-Mahmood
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2025	J	`jnl`	HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
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`	Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. UniReps Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2025	—	`conf`	Phrase-Grounded Fact-Checking for Automatically Generated Chest X-Ray Reports. MICCAI (7) Razi Mahmood, Diego Machado Reyes, Joy T. Wu, Parisa Kaviani, Ken C. L. Wong, Niharika D'Souza, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Tanveer F. Syeda-Mahmood
2025	J	`jnl`	Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports. CoRR Razi Mahmood, Diego Machado Reyes, Joy T. Wu, Parisa Kaviani, Ken C. L. Wong, Niharika D'Souza, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Tanveer F. Syeda-Mahmood
2025	J	`jnl`	Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025. CoRR Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom, Muhammad Umar Afza, Amelia Archer, Suhana Bedi, Vasiliki Bikia, Trenton Chang, George H. Chen, Winston Chen, Erica Chiang, Edward Choi, Octavia Ciora, Paz Dozie-Nnamah, Shaza Elsharief, Matthew Engelhard, Ali Eshragh, Jean Feng, Josh Fessel, Scott L. Fleming, Kei Sen Fong, Thomas Frost, Soham Gadgil, Judy Gichoya, Leeor Hershkovich, Sujeong Im, Bhavya Jain, Vincent Jeanselme, Furong Jia, Qixuan Jin, Yuxuan Jin, Daniel Kapash, Geetika Kapoor, Behdokht Kiafar, Matthias Kleiner, Stefan Kraft, Annika Kumar, Daeun Kyung, Zhongyuan Liang, Joanna Lin, Qianchu Liu, Chang Liu, Hongzhou Luan, Chris Lunt, Leopoldo Julian Lechuga López, Matthew B. A. McDermott, Shahriar Noroozizadeh, Connor O'Brien, YongKyung Oh, Mixail Ota, Stephen Pfohl, Meagan Pi, Tanmoy Sarkar Pias, Emma Rocheteau, Avishaan Sethi, Toru Shirakawa, Anita Silver, Neha Simha, Kamile Stankeviciute, Max Sunog, Peter Szolovits, Shengpu Tang, Jialu Tang, Aaron Tierney, John Valdovinos, Byron Wallace, Will Ke Wang, Peter Washington, Jeremy C. Weiss, Daniel Wolfe, Emily Wong, Hye Sun Yun, Xiaoman Zhang, Xiao Yu Cindy Zhang, Hayoung Jeong, Kaveri A. Thakoor
2024	J	`jnl`	Digital twins for health: a scoping review. npj Digit. Medicine Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari, Richard Fletcher, Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela R. Jackson, Ying Xiao, Tanveer F. Syeda-Mahmood, Richard Tuli, Jun Deng
2024	J	`jnl`	Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings. CoRR Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond. Medical Image Anal. Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2024	—	`conf`	Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound. MLMI@MICCAI (1) Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound. CoRR Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction. Artif. Intell. Medicine Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do
2024	J	`jnl`	Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations. CoRR Satyananda Kashyap, Niharika Shimona D'Souza, Luyao Shi, Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2024	J	`jnl`	Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. Int. J. Comput. Vis. Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn Jr., Olivier Gevaert, Arvind Rao
2024	J	`jnl`	Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nat. Mac. Intell. Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2024	B	`conf`	Vector Quantization with Sorting Transformation. IEEE Big Data Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	—	`conf`	FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. ISBI Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	—	`conf`	Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study. AMAI@MICCAI Satyananda Kashyap, Neerav Karani, Alexander Shang, Niharika Shimona D'Souza, Neel Dey, Lay Jain, Ray Wang, Hatice Akakin, Qian Li, Wenguang Li, Corydon Carlson, Polina Golland, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. CoRR Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	—	`conf`	HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. MICCAI (4) Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2023	C	`conf`	Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. IGARSS Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. CoRR Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. CoRR Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2023	—	`conf`	MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. ML4MHD Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
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`	Medical visual question answering using joint self-supervised learning. CoRR Yuan Zhou, Jing Mei, Yiqin Yu, Tanveer F. Syeda-Mahmood
2023	J	`jnl`	Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects. CoRR Elisa Warner, Joonsang Lee, William Hsu, Tanveer F. Syeda-Mahmood, Charles E. Kahn, Olivier Gevaert, Arvind Rao
2023	J	`jnl`	Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. CoRR Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2022	—	`ed.`	Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings EPIMI/ML-CDS@MICCAI John S. H. Baxter, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij
2022	J	`jnl`	Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation. Frontiers Digit. Health Eric A. Stahlberg, Mohamed Abdel-Rahman, Boris Aguilar, Alireza Asadpoure, Robert A. Beckman, Lynn L. Borkon, Jeffrey N. Bryan, Colleen M. Cebulla, Young Hwan Chang, Ansu Chatterjee, Jun Deng, Sepideh Dolatshahi, Olivier Gevaert, Emily J. Greenspan, Wenrui Hao, Tina Hernandez-Boussard, Pamela R. Jackson, Marieke L. Kuijjer, Adrian Lee, Paul Macklin, Subha Madhavan, Matthew D. McCoy, Navid Mohammad Mirzaei, Talayeh Razzaghi, Heber L. Rocha, Leili Shahriyari, Ilya Shmulevich, Daniel G. Stover, Yi Sun, Tanveer F. Syeda-Mahmood, Jinhua Wang, Qi Wang, Ioannis K. Zervantonakis
2022	—	`conf`	Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. MICCAI (8) Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2022	J	`jnl`	Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. CoRR Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
2022	—	`conf`	Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation. NAACL-HLT Luyao Shi, Tanveer F. Syeda-Mahmood, Tyler Baldwin
2022	—	`conf`	Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding. MLHC Tanveer F. Syeda-Mahmood, Luyao Shi
2022	—	`conf`	Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays. ISBI Neha Srivathsa, Razi Mahmood, Tanveer F. Syeda-Mahmood
2022	J	`jnl`	Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays. CoRR Neha Srivathsa, Razi Mahmood, Tanveer F. Syeda-Mahmood
2022	Misc	`conf`	Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. AMIA Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Tanveer F. Syeda-Mahmood, Hussain Rangwala, Mehdi Moradi
2022	J	`jnl`	Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. CoRR Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer F. Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi
2021	J	`jnl`	Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR Ken C. L. Wong, Hongzhi Wang, Etienne Eben Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood
2021	—	`conf`	Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. MICCAI (5) Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2021	—	`conf`	Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis. ISBI Hongzhi Wang, Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood
2021	J	`jnl`	Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics. CoRR Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do
2021	—	`conf`	Multimodal Fusion Using Sparse Cca For Breast Cancer Survival Prediction. ISBI Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do
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`	Multimodal fusion using sparse CCA for breast cancer survival prediction. CoRR Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do
2021	J	`jnl`	Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography. CoRR Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer F. Syeda-Mahmood
2021	—	`conf`	Multiview and multiclass image segmentation using deep learning in fetal echocardiography. Computer-Aided Diagnosis Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer F. Syeda-Mahmood
2021	Misc	`conf`	Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization. AMIA Ashutosh Jadhav, Tyler Baldwin, Joy T. Wu, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2020	—	`conf`	A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Anup Pillai, Arjun Sharma, Yaniv Gur, Hassan M. Ahmad, Minnekanti Sunil Chowdary, Chiranjeevi J, Kiran Kumar Reddy Polaka, Venkateswar Wunnava, D. C. Reddy, Tanveer F. Syeda-Mahmood
2020	Misc	`conf`	AI Accelerated Human-in-the-loop Structuring of Radiology Reports. AMIA Joy T. Wu, Ali Bin Syed, Hassan M. Ahmad, Anup Pillai, Yaniv Gur, Ashutosh Jadhav, Daniel F. Gruhl, Linda Kato, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	—	`conf`	Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. ISBI Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	—	`conf`	Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi
2020	J	`jnl`	Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi
2020	Misc	`conf`	Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. AMIA Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Extracting and Learning Fine-Grained Labels from Chest Radiographs. CoRR Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
2020	Misc	`conf`	Extracting and Learning Fine-grained Labels from Chest Radiographs. AMIA Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
2020	—	`conf`	Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020	—	`conf`	Multimodal Fusion of Imaging and Genomics for Lung Cancer Recurrence Prediction. ISBI Vaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood
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	J	`jnl`	Multimodal fusion of imaging and genomics for lung cancer recurrence prediction. CoRR Vaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood
2020	—	`conf`	Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. ISBI John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens
2020	J	`jnl`	Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. CoRR John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens
2020	—	`conf`	Quality controlled segmentation to aid disease detection. Computer-Aided Diagnosis Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2020	—	`conf`	Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA. HEALTHINF Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2020	J	`jnl`	Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA. CoRR Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Age prediction using a large chest X-ray dataset. CoRR Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Artificial intelligence for point of care radiograph quality assessment. Computer-Aided Diagnosis Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. MICCAI (6) Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. CoRR Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
2019	B	`conf`	Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation). Image Processing Tanveer F. Syeda-Mahmood, Hui Tang
2019	B	`conf`	Body part and imaging modality classification for a general radiology cognitive assistant. Image Processing Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. ISBI Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	J	`jnl`	Boosting the rule-out accuracy of deep disease detection using class weight modifiers. CoRR Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
2019	J	`jnl`	Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu
2019	—	`conf`	Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. ISBI Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer
2019	J	`jnl`	Identifying disease-free chest X-ray images with deep transfer learning. CoRR Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
2019	—	`conf`	Identifying disease-free chest x-ray images with deep transfer learning. Computer-Aided Diagnosis Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
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
2018	—	`conf`	3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. MICCAI (3) Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network. Computer-Aided Diagnosis Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Bimodal Network Architectures for Automatic Generation of Image Annotation from Text. MICCAI (1) Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
2018	J	`jnl`	Bimodal network architectures for automatic generation of image annotation from text. CoRR Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
2018	J	`jnl`	Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. CoRR Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	J	`jnl`	Building medical image classifiers with very limited data using segmentation networks. CoRR Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	J	`jnl`	Building medical image classifiers with very limited data using segmentation networks. Medical Image Anal. Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
2018	B	`conf`	Chest x-ray generation and data augmentation for cardiovascular abnormality classification. Image Processing Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Classification of radiology reports by modality and anatomy: A comparative study. BIBM Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood
2018	J	`jnl`	Classification of radiology reports by modality and anatomy: A comparative study. CoRR Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood
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`	Detecting anomalies from echocardiography using multi-view regression of clinical measurements. ISBI Allen Lu, Ehsan Dehghan, Gopalkrishna Veni, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior. ISBI Gopalkrishna Veni, Mehdi Moradi, Hakan Bulu, Girish Narayan, Tanveer F. Syeda-Mahmood
2018	Misc	`conf`	Generalized Extraction and Classification of Span-Level Clinical Phrases. AMIA Tyler Baldwin, Yufan Guo, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2018	Misc	`conf`	Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records. AMIA Yufan Guo, Joy T. Wu, Tyler Baldwin, David Beymer, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection. ISBI Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation. Computer-Aided Diagnosis Alex Karargyros, Tanveer F. Syeda-Mahmood
2018	B	`conf`	Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. Image Processing Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. ISBI Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
2018	—	`conf`	Universal multi-modal deep network for classification and segmentation of medical images. ISBI Ahmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood
2017	—	`conf`	A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. MICCAI (3) Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2017	—	`conf`	An algorithm for fully automatic detection of calcium in chest CT imaging. ISBI Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Automatic detection of aortic dissection in contrast-enhanced CT. ISBI Ehsan Dehghan, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Automatic extraction of disease-specific features from Doppler images. Computer-Aided Diagnosis Mohammadreza Negahdar, Mehdi Moradi, Nripesh Parajuli, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Automatic labeling of continuous wave Doppler images based on combined image and sentence networks. ISBI Mehdi Moradi, Yufan Guo, Yaniv Gur, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. MICCAI (3) Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
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	A*	`conf`	Efficient Clinical Concept Extraction in Electronic Medical Records. AAAI Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study. ISBI Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2017	—	`conf`	Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies. CVII-STENT/LABELS@MICCAI Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin B. Compas, Tanveer F. Syeda-Mahmood
2016	—	`conf`	A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation. MICCAI (2) Mehdi Moradi, Yufan Guo, Yaniv Gur, Mohammadreza Negahdar, Tanveer F. Syeda-Mahmood
2016	—	`conf`	A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. ISBI Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
2016	Misc	`conf`	Automatic Generation of Conditional Diagnostic Guidelines. AMIA Tyler Baldwin, Yufan Guo, Tanveer F. Syeda-Mahmood
2016	—	`conf`	Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. MICCAI (3) Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar
2016	—	`conf`	Lymphoma diagnosis in histopathology using a multi-stage visual learning approach. Digital Pathology Noel C. F. Codella, Mehdi Moradi, Matt Matasar, Tanveer F. Syeda-Mahmood, John R. Smith
2016	—	`conf`	Medical sieve: a cognitive assistant for radiologists and cardiologists. Computer-Aided Diagnosis Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul
2016	J	`jnl`	Metric hashing forests. Medical Image Anal. Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab
2016	—	`conf`	Tree-Based Transforms for Privileged Learning. MLMI@MICCAI Mehdi Moradi, Tanveer F. Syeda-Mahmood, Soheil Hor
2015	J	`jnl`	A generalized framework for medical image classification and recognition. IBM J. Res. Dev. Mani Abedini, Noel C. F. Codella, Jonathan H. Connell, Rahil Garnavi, Michele Merler, Sharath Pankanti, John R. Smith, Tanveer F. Syeda-Mahmood
2015	—	`conf`	An experimental study on combining the auto-context model with corrective learning for canine LEG muscle segmentation. ISBI Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood
2015	—	`conf`	Automatic detection of left ventricular aneurysms in echocardiograms. ISBI Razi Mahmood, Tanveer F. Syeda-Mahmood
2015	—	`conf`	Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning. MICCAI (2) Tanveer F. Syeda-Mahmood, Ritwik Kumar, Colin B. Compas
2015	—	`conf`	Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images. ISBI Long Xie, Suman Sedai, Xi Liang, Colin B. Compas, Hongzhi Wang, Paul A. Yushkevich, Tanveer F. Syeda-Mahmood
2015	—	`conf`	Viewpoint Recognition in Cardiac CT Images. FIMH Mehdi Moradi, Noel C. F. Codella, Tanveer F. Syeda-Mahmood
2014	—	`conf`	Anatomical Structure Labeling in Apical Four-Chamber View Echocardiogram Images. CinC Yu Cao, Colin B. Compas, Hongzhi Wang, Tanveer F. Syeda-Mahmood
2014	Misc	`conf`	Automatic Detection of Dilated Cardiomyopathy in Cardiac Ultrasound Videos. AMIA Razi Mahmood, Tanveer F. Syeda-Mahmood
2014	—	`conf`	Automatic detection of coronary stenosis in X-ray angiography through spatio-temporal tracking. ISBI Colin B. Compas, Tanveer F. Syeda-Mahmood, Patrick McNeillie, David Beymer
2014	—	`conf`	Multi-atlas Segmentation with Learning-Based Label Fusion. MLMI Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood
2014	B	`conf`	Segmentation of Anatomical Structures in Four-Chamber View Echocardiogram Images. ICPR Yu Cao, Patrick McNeillie, Tanveer F. Syeda-Mahmood
2010	—	`conf`	AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. MedInfo Arnon Amir, David Beymer, Julia Grace, Hayit Greenspan, Daniel Gruhl, Allen Hobbs, Kilian M. Pohl, Tanveer F. Syeda-Mahmood, Joseph Terdiman, Fei Wang
2010	—	`conf`	Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features. CVPR Workshops Ritwik Kumar, Fei Wang, David Beymer, Tanveer F. Syeda-Mahmood
2009	—	`conf`	Automatic estimation of left ventricular dysfunction from echocardiogram videos. CVPR Workshops David Beymer, Tanveer F. Syeda-Mahmood, Arnon Amir, Fei Wang, Scott Adelman
2008	—	`conf`	Exploiting spatio-temporal information for view recognition in cardiac echo videos. CVPR Workshops David Beymer, Tanveer F. Syeda-Mahmood, Fei Wang
1999	—	`conf`	Location hashing: an efficient indexing method for locating object queries in image databases. Storage and Retrieval for Image and Video Databases (SPIE) Tanveer F. Syeda-Mahmood
1993	—	`—`	Attentional selection in object recognition. Tanveer F. Syeda-Mahmood