Faisal Mahmood

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 82

Top Topics

Weakly Supervised

Survival Prediction

Fourier Transform

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Medical Imaging: Digital Pathology

Publications

Andrew H. Song, Richard J. Chen, Tong Ding, Drew F. K. Williamson, Guillaume Jaume, Faisal Mahmood
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology. CoRR (2024)
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
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis. CoRR (2024)
Arinbjorn Kolbeinsson, Kyle O'Brien, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen
Composable Interventions for Language Models. CoRR (2024)
Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood
Multimodal Prototyping for cancer survival prediction. CoRR (2024)
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
Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments. CoRR (2024)
Andrew H. Song, Guillaume Jaume, Drew F. K. Williamson, Ming Y. Lu, Anurag Vaidya, Tiffany R. Miller, Faisal Mahmood
Artificial Intelligence for Digital and Computational Pathology. CoRR (2024)
Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood
Transcriptomics-guided Slide Representation Learning in Computational Pathology. CoRR (2024)
Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CoRR (2023)
Paul Pu Liang, Yun Cheng, Xiang Fan, Chun Kai Ling, Suzanne Nie, Richard J. Chen, Zihao Deng, Faisal Mahmood, Ruslan Salakhutdinov, Louis-Philippe Morency
Quantifying & Modeling Feature Interactions: An Information Decomposition Framework. CoRR (2023)
Guillaume Jaume, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Paul Pu Liang, Faisal Mahmood
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction. CoRR (2023)
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
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples. CoRR (2023)
Philip Weber, Faisal Mahmood, Michael Ahmadi, Vanessa von Jan, Thomas Ludwig, Rainer Wieching
Fridolin: participatory design and evaluation of a nutrition chatbot for older adults. i-com 22 (1) (2023)
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
Towards a Visual-Language Foundation Model for Computational Pathology. CoRR (2023)
Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. ISBI (2023)
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
A General-Purpose Self-Supervised Model for Computational Pathology. CoRR (2023)
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
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework. NeurIPS (2023)
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
A Foundational Multimodal Vision Language AI Assistant for Human Pathology. CoRR (2023)
Ming Y. Lu, Bowen Chen, Andrew Zhang, Drew F. K. Williamson, Richard J. Chen, Tong Ding, Long Phi Le, Yung-Sung Chuang, Faisal Mahmood
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images. CVPR (2023)
Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. IEEE Trans. Medical Imaging 41 (4) (2022)
Imaad Zaffar, Guillaume Jaume, Nasir Rajpoot, Faisal Mahmood
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. CoRR (2022)
Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CoRR (2022)
Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling. MICCAI (2) (2022)
Iain Carmichael, Andrew H. Song, Richard J. Chen, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling. CoRR (2022)
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 D. Buelow, 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
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. 82 (2022)
Jochen K. Lennerz, Ursula Green, Drew F. K. Williamson, Faisal Mahmood
A unifying force for the realization of medical AI. npj Digit. Medicine 5 (2022)
Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. CVPR (2022)
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 D. Buelow, 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
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79 (2022)
Ming Y. Lu, Richard J. Chen, Dehan Kong, Jana Lipková, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
Federated learning for computational pathology on gigapixel whole slide images. Medical Image Anal. 76 (2022)
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
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning. CoRR (2021)
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
VR-Caps: A Virtual Environment for Capsule Endoscopy. Medical Image Anal. 70 (2021)
Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks. CoRR (2021)
Richard J. Chen, Tiffany Y. Chen, Jana Lipková, Judy J. Wang, Drew F. K. Williamson, Ming Y. Lu, Sharifa Sahai, Faisal Mahmood
Algorithm Fairness in AI for Medicine and Healthcare. CoRR (2021)
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
Deep Learning-based Frozen Section to FFPE Translation. CoRR (2021)
Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks. MICCAI (8) (2021)
Chengkuan Chen, Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Andrew J. Schaumberg, Faisal Mahmood
Fast and Scalable Image Search For Histology. CoRR (2021)
Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. ICCV (2021)
Ming Y. Lu, Tiffany Y. Chen, Drew F. K. Williamson, Melissa Zhao, Maha Shady, Jana Lipková, Faisal Mahmood
AI-based pathology predicts origins for cancers of unknown primary. Nat. 594 (7861) (2021)
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
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos. Medical Image Anal. 71 (2021)
Richard J. Chen, Faisal Mahmood
Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation). Medical Imaging: Digital Pathology (2020)
Richard J. Chen, Max Lu, Faisal Mahmood
Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation). Medical Imaging: Digital Pathology (2020)
Ming Y. Lu, Melissa Zhao, Maha Shady, Jana Lipková, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary. CoRR (2020)
Yasin Almalioglu, Abdulkadir Gokce, Kagan Incetan, Muhammed Ali Simsek, Kivanc Ararat, Richard J. Chen, Nicholas J. Durr, Faisal Mahmood, Mehmet Turan
EndoL2H: Deep Super-Resolution for Capsule Endoscopy. CoRR (2020)
Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood
Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. ISBI (2020)
Ming Y. Lu, Drew F. K. Williamson, Tiffany Y. Chen, Richard J. Chen, Matteo Barbieri, Faisal Mahmood
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images. CoRR (2020)
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
VR-Caps: A Virtual Environment for Capsule Endoscopy. CoRR (2020)
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
Quantitative Evaluation of Endoscopic SLAM Methods: EndoSLAM Dataset. CoRR (2020)
Ming Y. Lu, Dehan Kong, Jana Lipková, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood
Federated Learning for Computational Pathology on Gigapixel Whole Slide Images. CoRR (2020)
Ming Y. Lu, Richard J. Chen, Faisal Mahmood
Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation). Medical Imaging: Digital Pathology (2020)
Mason T. Chen, Faisal Mahmood, Jordan A. Sweer, Nicholas J. Durr
GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images. IEEE Trans. Medical Imaging 39 (6) (2020)
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
EndoL2H: Deep Super-Resolution for Capsule Endoscopy. IEEE Trans. Medical Imaging 39 (12) (2020)
Faisal Mahmood, Abdul Zahid Khan, Rahat Hussain Bokhari
ERP issues and challenges: a research synthesis. Kybernetes 49 (3) (2020)
Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. IEEE Trans. Medical Imaging 39 (11) (2020)
Faisal Mahmood, Jeremiah W. Johnson, Ziyun Yang, Nicholas J. Durr
Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation). Medical Imaging: Computer-Aided Diagnosis (2019)
Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr
SLAM Endoscopy enhanced by adversarial depth prediction. CoRR (2019)
Mehmet Turan, Yasin Almalioglu, Hunter B. Gilbert, Faisal Mahmood, Nicholas J. Durr, Helder Araújo, Alp Eren Sari, Anurag Ajay, Metin Sitti
Learning to Navigate Endoscopic Capsule Robots. IEEE Robotics Autom. Lett. 4 (3) (2019)
Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille
Structured Prediction using cGANs with Fusion Discriminator. DGS@ICLR (2019)
Mason T. Chen, Faisal Mahmood, Jordan A. Sweer, Nicholas J. Durr
GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snapshot Wide-field Images. CoRR (2019)
Faisal Mahmood, Ziyun Yang, Richard J. Chen, Daniel Borders, Wenhao Xu, Nicholas J. Durr
Polyp segmentation and classification using predicted depth from monocular endoscopy. Medical Imaging: Computer-Aided Diagnosis (2019)
Richard J. Chen, Ming Y. Lu, Jingwen Wang, Drew F. K. Williamson, Scott J. Rodig, Neal I. Lindeman, Faisal Mahmood
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis. CoRR (2019)
Ming Y. Lu, Richard J. Chen, Jingwen Wang, Debora Dillon, Faisal Mahmood
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding. CoRR (2019)
Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille
Structured Prediction using cGANs with Fusion Discriminator. CoRR (2019)
Faisal Mahmood, Richard J. Chen, Daniel Borders, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data. Medical Imaging: Digital Pathology (2019)
Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks. CoRR (2019)
Faisal Mahmood, Daniel Borders, Richard J. Chen, Gregory N. McKay, Kevan J. Salimian, Alexander S. Baras, Nicholas J. Durr
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images. CoRR (2018)
Faisal Mahmood, Lars-Goran Ofverstedt, Mart Toots, Gunnar Wilken, Ulf Skoglund
An Extended Field-Based Method for Noise Removal From Electron Tomographic Reconstructions. IEEE Access 6 (2018)
Richard J. Chen, Faisal Mahmood, Alan L. Yuille, Nicholas J. Durr
Rethinking Monocular Depth Estimation with Adversarial Training. CoRR (2018)
Faisal Mahmood, Richard J. Chen, Nicholas J. Durr
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. IEEE Trans. Medical Imaging 37 (12) (2018)
Faisal Mahmood, Nicholas J. Durr
Topographical reconstructions from monocular optical colonoscopy images via deep learning. ISBI (2018)
Faisal Mahmood, Nicholas J. Durr
Deep learning-based depth estimation from a synthetic endoscopy image training set. Medical Imaging: Image Processing (2018)
Faisal Mahmood, Mart Toots, Lars-Göran Öfverstedt, Ulf Skoglund
Algorithm and Architecture Optimization for 2D Discrete Fourier Transforms with Simultaneous Edge Artifact Removal. Int. J. Reconfigurable Comput. 2018 (2018)
Faisal Mahmood, Richard J. Chen, Sandra Sudarsky, Daphne Yu, Nicholas J. Durr
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images. CoRR (2018)
Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst
Adaptive Graph-Based Total Variation for Tomographic Reconstructions. IEEE Signal Process. Lett. 25 (5) (2018)
Faisal Mahmood, Nicholas J. Durr
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy. Medical Image Anal. 48 (2018)
Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni, Nicholas J. Durr
DeepLSR: Deep learning approach for laser speckle reduction. CoRR (2018)
Faisal Mahmood, Ziyun Yang, Thomas Ashley, Nicholas J. Durr
Multimodal Densenet. CoRR (2018)
Faisal Mahmood, Nicholas J. Durr
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy. CoRR (2017)
Faisal Mahmood, Richard J. Chen, Nicholas J. Durr
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. CoRR (2017)
Donald G. Bailey, Faisal Mahmood, Ulf Skoglund
Reducing the Cost of Removing Border Artefacts in Fourier Transforms. HEART (2017)
Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund
Graph Based Sinogram Denoising for Tomographic Reconstructions. CoRR (2016)
Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund
Graph-based sinogram denoising for tomographic reconstructions. EMBC (2016)
Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst
Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions. CoRR (2016)
Faisal Mahmood, Mart Toots, Lars-Göran Öfverstedt, Ulf Skoglund
2D Discrete Fourier Transform with Simultaneous Edge Artifact Removal for Real-Time Applications. CoRR (2016)
Faisal Mahmood, Mart Toots, Lars-Goran Ofverstedt, Ulf Skoglund
2D Discrete Fourier Transform with simultaneous edge artifact removal for real-time applications. FPT (2015)
Parmod Kumar, Faisal Mahmood, Dhanya Menoth Mohan, Ken Wong, Abhishek Agrawal, Mohamed Elgendi, Rohit Shukla, Justin Dauwels, Alice H. D. Chan
On the effect of subliminal priming on subjective perception of images: A machine learning approach. EMBC (2014)
Susanne Lise Bekke, Faisal Mahmood, Jakob Helt-Hansen, Claus F. Behrens
Optical surface scanning for respiratory motion monitoring in radiotherapy: a feasibility study. Medical Imaging: Image-Guided Procedures (2014)
Faisal Mahmood, Arslan Zia, Mehak Fatima
An intelligent approach for generation of muscular electrotherapy stimulation waveforms. BHI (2012)