Faisal Mahmood

105 papers A* 11B 1Journal 73Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning. CoRR Daniel Shao, Joel Runevic, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Andrew H. Song, Faisal Mahmood
2026	J	`jnl`	Towards Spatial Transcriptomics-driven Pathology Foundation Models. CoRR Konstantin Hemker, Andrew H. Song, Cristina Almagro-Pérez, Guillaume Jaume, Sophia J. Wagner, Anurag Vaidya, Nikola Simidjievski, Mateja Jamnik, Faisal Mahmood
2025	J	`jnl`	A Foundation Model for Spatial Proteomics. CoRR Muhammad Shaban, Yuzhou Chang, Huaying Qiu, Yao Yu Yeo, Andrew H. Song, Guillaume Jaume, Yuchen Wang, Luca L. Weishaupt, Tong Ding, Anurag Vaidya, Abdallah Lamane, Daniel Shao, Mohammed Zidane, Yunhao Bai, Paige McCallum, Shuli Luo, Wenrui Wu, Yang Wang, Precious Cramer, Chi Ngai Chan, Pierre Stéphan, Johanna Schaffenrath, Jia Le Lee, Hendrik A. Michel, Caiwei Tian, Cristina Almagro-Pérez, Sophia J. Wagner, Sharifa Sahai, Ming Y. Lu, Richard J. Chen, Andrew Zhang, Mark Edward M. Gonzales, Ahmad Makky, Jia-Ying Joey Lee, Hao Cheng, Nourhan El Ahmar, Sayed Matar, Maximilian Haist, Darci Phillips, Yuqi Tan, Garry P. Nolan, W. Richard Burack, Jacob D. Estes, Jonathan T. C. Liu, Toni K. Choueiri, Neeraj Agarwal, Marc Barry, Scott J. Rodig, Long Phi Le, Georg Gerber, Christian M. Schürch, Fabian J. Theis, Youn H. Kim, Joe Yeong, Sabina Signoretti, Brooke E. Howitt, Lit-Hsin Loo, Qin Ma, Sizun Jiang, Faisal Mahmood
2025	J	`jnl`	AI-driven 3D Spatial Transcriptomics. CoRR Cristina Almagro-Pérez, Andrew H. Song, Luca L. Weishaupt, Ahrong Kim, Guillaume Jaume, Drew F. K. Williamson, Konstantin Hemker, Ming Y. Lu, Kritika Singh, Bowen Chen, Long Phi Le, Alexander S. Baras, Sizun Jiang, Ali Bashashati, Jonathan T. C. Liu, Faisal Mahmood
2025	J	`jnl`	Accelerating Data Processing and Benchmarking of AI Models for Pathology. CoRR Andrew Zhang, Guillaume Jaume, Anurag Vaidya, Tong Ding, Faisal Mahmood
2025	—	`conf`	Automated Detection of BK Virus in H&E Whole-Slide Images Using Weakly-Supervised Deep Learning and Interpretable Morphological Biomarkers. MICCAI (8) Sharifa Sahai, Ana D. Ramos-Guerra, Cristina Almagro-Pérez, Guillaume Jaume, Andrew Zhang, Helmut Rennke, Astrid Weins, Juan E. Ortuño, María J. Ledesma-Carbayo, Faisal Mahmood
2025	A*	`conf`	Composable Interventions for Language Models. ICLR Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2025	A*	`conf`	Do Multiple Instance Learning Models Transfer? ICML Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood
2025	J	`jnl`	Do Multiple Instance Learning Models Transfer? CoRR Daniel Shao, Richard J. Chen, Andrew H. Song, Joel Runevic, Ming Y. Lu, Tong Ding, Faisal Mahmood
2025	J	`jnl`	Evidence-based diagnostic reasoning with multi-agent copilot for human pathology. CoRR Chengkuan Chen, Luca L. Weishaupt, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Bowen Chen, Anurag Vaidya, Long Phi Le, Guillaume Jaume, Ming Y. Lu, Faisal Mahmood
2025	J	`jnl`	MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning. CoRR Rajarshi Ghosh, Abhay Gupta, Hudson McBride, Anurag Vaidya, Faisal Mahmood
2025	J	`jnl`	Molecular-driven Foundation Model for Oncologic Pathology. CoRR Anurag Vaidya, Andrew Zhang, Guillaume Jaume, Andrew H. Song, Tong Ding, Sophia J. Wagner, Ming Y. Lu, Paul Doucet, Harry Robertson, Cristina Almagro-Pérez, Richard J. Chen, Dina ElHarouni, Georges Ayoub, Connor Bossi, Keith L. Ligon, Georg Gerber, Long Phi Le, Faisal Mahmood
2025	J	`jnl`	NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery. CoRR Anurag J. Vaidya, Felix Meissen, Daniel C. Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie L. Hyland, Kenza Bouzid
2024	J	`jnl`	Artificial Intelligence for Digital and Computational Pathology. CoRR Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, Ming Y. Lu, Anurag Vaidya, Tiffany R. Miller, Faisal Mahmood
2024	J	`jnl`	Composable Interventions for Language Models. CoRR Arinbjörn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
2024	A*	`conf`	HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis. NeurIPS Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Yang Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood
2024	J	`jnl`	HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis. CoRR Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F. K. Williamson, Ahrong Kim, Faisal Mahmood
2024	A*	`conf`	Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CVPR Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood
2024	A*	`conf`	Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CVPR Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood
2024	J	`jnl`	Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CoRR Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood
2024	A*	`conf`	Multimodal Prototyping for cancer survival prediction. ICML Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood
2024	J	`jnl`	Multimodal Prototyping for cancer survival prediction. CoRR Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood
2024	J	`jnl`	Multimodal Whole Slide Foundation Model for Pathology. CoRR Tong Ding, Sophia J. Wagner, Andrew H. Song, Richard J. Chen, Ming Y. Lu, Andrew Zhang, Anurag J. Vaidya, Guillaume Jaume, Muhammad Shaban, Ahrong Kim, Drew F. K. Williamson, Bowen Chen, Cristina Almagro-Pérez, Paul Doucet, Sharifa Sahai, Chengkuan Chen, Daisuke Komura, Akihiro Kawabe, Shumpei Ishikawa, Georg Gerber, Tingying Peng, Long Phi Le, Faisal Mahmood
2024	—	`conf`	Multistain Pretraining for Slide Representation Learning in Pathology. ECCV (33) Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood
2024	J	`jnl`	Multistain Pretraining for Slide Representation Learning in Pathology. CoRR Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood
2024	A*	`conf`	Transcriptomics-Guided Slide Representation Learning in Computational Pathology. CVPR Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood
2024	J	`jnl`	Transcriptomics-guided Slide Representation Learning in Computational Pathology. CoRR Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood
2024	—	`conf`	Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments. CVPR Workshops Gan Gao, Andrew H. Song, Fiona Wang, David Brenes, Rui Wang, Sarah S. L. Chow, Kevin W. Bishop, Lawrence D. True, Faisal Mahmood, Jonathan T. C. Liu
2024	J	`jnl`	Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments. CoRR Gan Gao, Andrew H. Song, Fiona Wang, David Brenes, Rui Wang, Sarah S. L. Chow, Kevin W. Bishop, Lawrence D. True, Faisal Mahmood, Jonathan T. C. Liu
2023	J	`jnl`	A Foundational Multimodal Vision Language AI Assistant for Human Pathology. CoRR Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Kenji Ikamura, Georg Gerber, Ivy Liang, Long Phi Le, Tong Ding, Anil V. Parwani, Faisal Mahmood
2023	J	`jnl`	A General-Purpose Self-Supervised Model for Computational Pathology. CoRR Richard J. Chen, Tong Ding, Ming Y. Lu, Drew F. K. Williamson, Guillaume Jaume, Bowen Chen, Andrew Zhang, Daniel Shao, Andrew H. Song, Muhammad Shaban, Mane Williams, Anurag Vaidya, Sharifa Sahai, Lukas Oldenburg, Luca L. Weishaupt, Judy J. Wang, Walt Williams, Long Phi Le, Georg Gerber, Faisal Mahmood
2023	—	`conf`	Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. ISBI Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood
2023	J	`jnl`	Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CoRR Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood
2023	J	`jnl`	Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. CoRR Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency
2023	A*	`conf`	Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. NeurIPS Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Nicholas B. Allen, Randy Auerbach, Faisal Mahmood, Russ Salakhutdinov, Louis-Philippe Morency
2023	J	`jnl`	Towards a Visual-Language Foundation Model for Computational Pathology. CoRR Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, Richard J. Chen, Ivy Liang, Tong Ding, Guillaume Jaume, Igor Odintsov, Andrew Zhang, Long Phi Le, Georg Gerber, Anil V. Parwani, Faisal Mahmood
2023	A*	`conf`	Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CVPR Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
2023	J	`jnl`	Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CoRR Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
2023	J	`jnl`	Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples. CoRR Andrew H. Song, Mane Williams, Drew F. K. Williamson, Guillaume Jaume, Andrew Zhang, Bowen Chen, Robert Serafin, Jonathan T. C. Liu, Alexander S. Baras, Anil V. Parwani, Faisal Mahmood
2022	J	`jnl`	A unifying force for the realization of medical AI. npj Digit. Medicine Jochen K. Lennerz, Ursula Green, Drew F. K. Williamson, Faisal Mahmood
2022	J	`jnl`	Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather
2022	—	`conf`	Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients. Digital and Computational Pathology Luoting Zhuang, Jana Lipková, Richard Chen, Faisal Mahmood
2022	J	`jnl`	Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. CoRR Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood
2022	J	`jnl`	Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather
2022	J	`jnl`	Federated learning for computational pathology on gigapixel whole slide images. Medical Image Anal. Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	—	`conf`	Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. MICCAI (2) Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	J	`jnl`	Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling. CoRR Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2022	J	`jnl`	Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. IEEE Trans. Medical Imaging Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
2022	A*	`conf`	Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CVPR Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood
2022	J	`jnl`	Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CoRR Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood
2021	J	`jnl`	AI-based pathology predicts origins for cancers of unknown primary. Nat. Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Melissa Zhao, Maha Shady, Jana Lipková, Faisal Mahmood
2021	J	`jnl`	Algorithm Fairness in AI for Medicine and Healthcare. CoRR Richard J. Chen, Tiffany Y. Chen, Jana Lipková, Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood
2021	J	`jnl`	Deep Learning-based Frozen Section to FFPE Translation. CoRR Kutsev Bengisu Ozyoruk, Sermet Can, Guliz Irem Gokceler, Kayhan Basak, Derya Demir, Gurdeniz Serin, Uguray Payam Hacisalihoglu, Berkan Darbaz, Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Funda Yilmaz, Faisal Mahmood, Mehmet Turan
2021	J	`jnl`	EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos. Medical Image Anal. Kutsev Bengisu Ozyoruk, Guliz Irem Gokceler, Taylor L. Bobrow, Gulfize Coskun, Kagan Incetan, Yasin Almalioglu, Faisal Mahmood, Eva Curto, Luis Perdigoto, Marina Oliveira, Hasan Sahin, Helder Araújo, Henrique Alexandrino, Nicholas J. Durr, Hunter B. Gilbert, Mehmet Turan
2021	J	`jnl`	Fast and Scalable Image Search For Histology. CoRR Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Andrew J. Schaumberg, Faisal Mahmood
2021	A*	`conf`	Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. ICCV Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood
2021	J	`jnl`	Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. CoRR Richard J. Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Jana Lipková, Muhammad Shaban, Maha Shady, Mane Williams, Bumjin Joo, Zahra Noor, Faisal Mahmood
2021	J	`jnl`	VR-Caps: A Virtual Environment for Capsule Endoscopy. Medical Image Anal. Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan
2021	—	`conf`	Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. MICCAI (8) Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
2021	J	`jnl`	Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks. CoRR Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
2020	J	`jnl`	Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images. CoRR Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood
2020	J	`jnl`	Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. IEEE Trans. Medical Imaging Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr
2020	J	`jnl`	Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary. CoRR Ming Y. Lu, Melissa Zhao, Maha Shady, Jana Lipková, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
2020	—	`conf`	Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation). Digital Pathology Richard Chen, Faisal Mahmood
2020	J	`jnl`	EndoL2H: Deep Super-Resolution for Capsule Endoscopy. CoRR Yasin Almalioglu, Abdulkadir Gokce, Kagan Incetan, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan
2020	J	`jnl`	EndoL2H: Deep Super-Resolution for Capsule Endoscopy. IEEE Trans. Medical Imaging Yasin Almalioglu, Kutsev Bengisu Ozyoruk, Abdulkadir Gokce, Kagan Incetan, Guliz Irem Gokceler, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan
2020	J	`jnl`	Federated Learning for Computational Pathology on Gigapixel Whole Slide Images. CoRR Ming Y. Lu, Dehan Kong, Jana Lipková, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
2020	J	`jnl`	GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images. IEEE Trans. Medical Imaging Mason T. Chen, Faisal Mahmood, Jordan A. Sweer, Nicholas J. Durr
2020	—	`conf`	Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation). Digital Pathology Richard J. Chen, Max Lu, Faisal Mahmood
2020	J	`jnl`	Quantitative Evaluation of Endoscopic SLAM Methods: EndoSLAM Dataset. CoRR Kutsev Bengisu Ozyoruk, Kagan Incetan, Gulfize Coskun, Guliz Irem Gokceler, Yasin Almalioglu, Faisal Mahmood, Nicholas J. Durr, Eva Curto, Luis Perdigoto, Marina Oliveira, Helder Araújo, Henrique Alexandrino, Hunter B. Gilbert, Mehmet Turan
2020	—	`conf`	Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation). Digital Pathology Ming Y. Lu, Richard J. Chen, Faisal Mahmood
2020	J	`jnl`	VR-Caps: A Virtual Environment for Capsule Endoscopy. CoRR Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid, Guliz Irem Gokceler, Kutsev Bengisu Ozyoruk, Yasin Almalioglu, Richard J. Chen, Faisal Mahmood, Hunter Gilbert, Nicholas J. Durr, Mehmet Turan
2020	—	`conf`	Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. ISBI Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood
2019	—	`conf`	Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data. Digital Pathology Faisal Mahmood, Richard Chen, Daniel Borders, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr
2019	—	`conf`	Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation). Computer-Aided Diagnosis Faisal Mahmood, Jeremiah W. Johnson, Ziyun Yang, Nicholas J. Durr
2019	J	`jnl`	GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images. CoRR Mason T. Chen, Faisal Mahmood, Jordan A. Sweer, Nicholas J. Durr
2019	J	`jnl`	Learning to Navigate Endoscopic Capsule Robots. IEEE Robotics Autom. Lett. Mehmet Turan, Yasin Almalioglu, Hunter B. Gilbert, Faisal Mahmood, Nicholas J. Durr, Helder Araújo, Alp Eren Sari, Anurag Ajay, Metin Sitti
2019	J	`jnl`	Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. CoRR Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
2019	—	`conf`	Polyp segmentation and classification using predicted depth from monocular endoscopy. Computer-Aided Diagnosis Faisal Mahmood, Ziyun Yang, Richard Chen, Daniel Borders, Wenhao Xu, Nicholas J. Durr
2019	J	`jnl`	SLAM Endoscopy enhanced by adversarial depth prediction. CoRR Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr
2019	J	`jnl`	Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding. CoRR Ming Y. Lu, Richard J. Chen, Jingwen Wang, Debora Dillon, Faisal Mahmood
2019	—	`conf`	Structured Prediction using cGANs with Fusion Discriminator. DGS@ICLR Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille
2019	J	`jnl`	Structured Prediction using cGANs with Fusion Discriminator. CoRR Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille
2019	J	`jnl`	Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks. CoRR Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood
2018	J	`jnl`	Adaptive Graph-Based Total Variation for Tomographic Reconstructions. IEEE Signal Process. Lett. Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst
2018	J	`jnl`	Algorithm and Architecture Optimization for 2D Discrete Fourier Transforms with Simultaneous Edge Artifact Removal. Int. J. Reconfigurable Comput. Faisal Mahmood, Mart Toots, Lars-Göran Öfverstedt, Ulf Skoglund
2018	J	`jnl`	An Extended Field-Based Method for Noise Removal From Electron Tomographic Reconstructions. IEEE Access Faisal Mahmood, Lars-Goran Ofverstedt, Mart Toots, Gunnar Wilken, Ulf Skoglund
2018	J	`jnl`	Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. CoRR Faisal Mahmood, Daniel Borders, Richard Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr
2018	J	`jnl`	Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images. CoRR Faisal Mahmood, Richard Chen, Sandra Sudarsky, Daphne Yu, Nicholas J. Durr
2018	J	`jnl`	Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy. Medical Image Anal. Faisal Mahmood, Nicholas J. Durr
2018	B	`conf`	Deep learning-based depth estimation from a synthetic endoscopy image training set. Image Processing Faisal Mahmood, Nicholas J. Durr
2018	J	`jnl`	DeepLSR: Deep learning approach for laser speckle reduction. CoRR Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni, Nicholas J. Durr
2018	J	`jnl`	Multimodal Densenet. CoRR Faisal Mahmood, Ziyun Yang, Thomas Ashley, Nicholas J. Durr
2018	J	`jnl`	Rethinking Monocular Depth Estimation with Adversarial Training. CoRR Richard Chen, Faisal Mahmood, Alan L. Yuille, Nicholas J. Durr
2018	—	`conf`	Topographical reconstructions from monocular optical colonoscopy images via deep learning. ISBI Faisal Mahmood, Nicholas J. Durr
2018	J	`jnl`	Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. IEEE Trans. Medical Imaging Faisal Mahmood, Richard Chen, Nicholas J. Durr
2017	J	`jnl`	Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy. CoRR Faisal Mahmood, Nicholas J. Durr
2017	—	`conf`	Reducing the Cost of Removing Border Artefacts in Fourier Transforms. HEART Donald G. Bailey, Faisal Mahmood, Ulf Skoglund
2017	J	`jnl`	Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. CoRR Faisal Mahmood, Richard Chen, Nicholas J. Durr
2016	J	`jnl`	2D Discrete Fourier Transform with Simultaneous Edge Artifact Removal for Real-Time Applications. CoRR Faisal Mahmood, Mart Toots, Lars-Göran Öfverstedt, Ulf Skoglund
2016	J	`jnl`	Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions. CoRR Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst
2016	J	`jnl`	Graph Based Sinogram Denoising for Tomographic Reconstructions. CoRR Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund
2016	—	`conf`	Graph-based sinogram denoising for tomographic reconstructions. EMBC Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund
2015	—	`conf`	2D Discrete Fourier Transform with simultaneous edge artifact removal for real-time applications. FPT Faisal Mahmood, Mart Toots, Lars-Goran Ofverstedt, Ulf Skoglund
2014	—	`conf`	On the effect of subliminal priming on subjective perception of images: A machine learning approach. EMBC Parmod Kumar, Faisal Mahmood, Dhanya Menoth Mohan, Ken Wong, Abhishek Agrawal, Mohamed Elgendi, Rohit Shukla, Justin Dauwels, Alice H. D. Chan