Dr. Faisal Mahmood Profile

Dr. Faisal Mahmood

Assistant Professor at Harvard Medical School

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Publications (13)

Proceedings Article | 4 April 2022 Presentation

Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients

Luoting Zhuang, Jana Lipkova, Richard Chen, Faisal Mahmood

Proceedings Volume 12039, 120390Z (2022) https://doi.org/10.1117/12.2626318

KEYWORDS: Genomics, Radiology, Data modeling, Magnetic resonance imaging, Tissues, Tumors, Resistance, Performance modeling, Image fusion

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Proceedings Article | 4 April 2022 Presentation

Data-efficient and multimodal computational pathology

Faisal Mahmood

Proceedings Volume 12039, 1203902 (2022) https://doi.org/10.1117/12.2620545

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Proceedings Article | 17 March 2020 Presentation

Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation)

Richard Chen, Faisal Mahmood

Proceedings Volume 11320, 113200M (2020) https://doi.org/10.1117/12.2549889

KEYWORDS: Cancer, Tumors, Tissues, Genetics, Interdisciplinary fields, Artificial intelligence, Knowledge discovery, Image analysis

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Proceedings Article | 17 March 2020 Presentation

Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation)

Richard Chen, Max Lu, Faisal Mahmood

Proceedings Volume 11320, 113200N (2020) https://doi.org/10.1117/12.2549855

KEYWORDS: Image fusion, Cancer, Tumors, Biological research, Feature extraction, Molecular interactions, Performance modeling, Medical research, Biomedical optics, Medicine

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Proceedings Article | 17 March 2020 Presentation

Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation)

Ming Lu, Richard Chen, Faisal Mahmood

Proceedings Volume 11320, 113200J (2020) https://doi.org/10.1117/12.2549627

KEYWORDS: Breast cancer, Computer programming, Data modeling, Compound parabolic concentrators, Cancer, Neural networks, Machine learning, Classification systems, Image classification

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Proceedings Article | 18 March 2019 Presentation + Paper

Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data

Faisal Mahmood, Richard Chen, Daniel Borders, Gregory McKay, Kevan Salimian, Alexander Baras, Nicholas Durr

Proceedings Volume 10956, 109560N (2019) https://doi.org/10.1117/12.2512918

KEYWORDS: Image segmentation, Gallium nitride, Pathology, Binary data, Associative arrays, Tissues, Medicine, Cancer, Medical imaging, Breast

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Proceedings Article | 15 March 2019 Presentation + Paper

Polyp segmentation and classification using predicted depth from monocular endoscopy

Faisal Mahmood, Ziyun Yang, Richard Chen, Daniel Borders, Wenhao Xu, Nicholas Durr

Proceedings Volume 10950, 1095011 (2019) https://doi.org/10.1117/12.2513117

KEYWORDS: Endoscopy, Colorectal cancer, Image segmentation, RGB color model, Cancer, Cameras, Biological research, Fusion energy, Biomedical engineering, Biomedical optics

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Proceedings Article | 14 March 2019 Presentation

Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation)

Faisal Mahmood, Jeremiah Johnson, Ziyun Yang, Nicholas Durr

Proceedings Volume 10950, 109501T (2019) https://doi.org/10.1117/12.2513139

KEYWORDS: Image segmentation, Skin, Gallium nitride, Skin cancer, Cancer, Melanoma, Visualization, RGB color model

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Proceedings Article | 4 March 2019 Paper

Speckle reduction in laser illuminated endoscopy using adversarial deep learning

Taylor Bobrow, Faisal Mahmood, Miguel Inserni, Nicholas Durr

Proceedings Volume 10889, 1088916 (2019) https://doi.org/10.1117/12.2510587

KEYWORDS: Speckle, Light emitting diodes, Endoscopy, Image processing, Light sources, Laser optics

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Proceedings Article | 4 March 2019 Presentation

Robust photometric stereo endoscopy via deep learning trained on synthetic data (Conference Presentation)

Faisal Mahmood, Daniel Borders, Richard Chen, Jordan Sweer, Steven Tilley, Norman Nishioka, J. Webster Stayman, Nicholas Durr

Proceedings Volume 10871, 108710N (2019) https://doi.org/10.1117/12.2509878

KEYWORDS: Endoscopy, Colorectal cancer, Endoscopes, Data modeling, 3D modeling, Colon, Light sources, Error analysis, Cancer, Cameras

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Proceedings Article | 20 February 2019 Presentation + Paper

Registering large caustic distortions for high dynamic range diffuser wavefront sensing

Gregory McKay, Faisal Mahmood, Nicholas Durr

Proceedings Volume 10886, 108860Y (2019) https://doi.org/10.1117/12.2509765

KEYWORDS: Diffusers, Wavefronts, Eye, Wavefront sensors, Eye models, Image registration, Holography, Light emitting diodes, Wavefront distortions, High dynamic range imaging

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Proceedings Article | 14 March 2018 Presentation

Quantitative polyp size measurements with photometric stereo endoscopy enhanced by deep learning (Conference Presentation)

Faisal Mahmood, Norman Nishioka, Nicholas Durr

Proceedings Volume 10487, 104870G (2018) https://doi.org/10.1117/12.2290423

KEYWORDS: Endoscopy, Colorectal cancer, Endoscopes, Colon, Reconstruction algorithms, 3D displays, 3D metrology, Cancer, Cameras, Convolutional neural networks

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Proceedings Article | 2 March 2018 Paper

Deep learning-based depth estimation from a synthetic endoscopy image training set

Faisal Mahmood, Nicholas Durr

Proceedings Volume 10574, 1057421 (2018) https://doi.org/10.1117/12.2293785

KEYWORDS: Endoscopy, Colon, Colorectal cancer, Endoscopes, Cancer, 3D modeling, Cameras, Image analysis

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Showing 5 of 13 publications

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