default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFaisal Mahmood
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c29]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. CVPR Workshops 2024: 6955-6965- [c28]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. CVPR 2024: 9632-9644 - [c27]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. CVPR 2024: 11566-11578 - [c26]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. CVPR 2024: 11579-11590 - [c25]Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood:
Multistain Pretraining for Slide Representation Learning in Pathology. ECCV (33) 2024: 19-37 - [c24]Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood:
Multimodal Prototyping for cancer survival prediction. ICML 2024 - [i45]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 abs/2401.06148 (2024) - [i44]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 abs/2405.11618 (2024) - [i43]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 abs/2405.11643 (2024) - [i42]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 abs/2406.07061 (2024) - [i41]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 abs/2406.16192 (2024) - [i40]Andrew H. Song, Richard J. Chen, Guillaume Jaume, Anurag J. Vaidya, Alexander S. Baras, Faisal Mahmood:
Multimodal Prototyping for cancer survival prediction. CoRR abs/2407.00224 (2024) - [i39]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 abs/2407.06483 (2024) - [i38]Guillaume Jaume, Anurag Vaidya, Andrew Zhang, Andrew H. Song, Richard J. Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long Phi Le, Faisal Mahmood:
Multistain Pretraining for Slide Representation Learning in Pathology. CoRR abs/2408.02859 (2024) - 2023
- [j19]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): 33-52 (2023) - [c23]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: 19764-19775 - [c22]Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood:
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. ISBI 2023: 1-4 - [c21]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 - [i37]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 abs/2302.12247 (2023) - [i36]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 abs/2304.06819 (2023) - [i35]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 abs/2306.07831 (2023) - [i34]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 abs/2307.12914 (2023) - [i33]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 abs/2307.14907 (2023) - [i32]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 abs/2308.15474 (2023) - [i31]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 abs/2312.07814 (2023) - 2022
- [j18]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: 102298 (2022) - [j17]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:
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - [j16]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:
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: 102622 (2022) - [j15]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) - [j14]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): 757-770 (2022) - [c20]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: 16123-16134 - [c19]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: 387-397 - [i30]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 abs/2206.02647 (2022) - [i29]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 abs/2206.08885 (2022) - [i28]Imaad Zaffar, Guillaume Jaume, Nasir M. Rajpoot, Faisal Mahmood:
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images. CoRR abs/2210.17013 (2022) - 2021
- [j13]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: 101990 (2021) - [j12]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: 102058 (2021) - [j11]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): 106-110 (2021) - [c18]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: 3995-4005 - [c17]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: 339-349 - [i27]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 abs/2107.11786 (2021) - [i26]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 abs/2107.13048 (2021) - [i25]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 abs/2107.13587 (2021) - [i24]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 abs/2108.02278 (2021) - [i23]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 abs/2110.00603 (2021) - 2020
- [j10]Faisal Mahmood, Abdul Zahid Khan, Rahat Hussain Bokhari:
ERP issues and challenges: a research synthesis. Kybernetes 49(3): 629-659 (2020) - [j9]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): 1988-1999 (2020) - [j8]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): 3257-3267 (2020) - [j7]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): 4297-4309 (2020) - [c16]Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood:
Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. ISBI 2020: 239-243 - [c15]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: 113200N - [c14]Richard J. Chen, Faisal Mahmood:
Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation). Medical Imaging: Digital Pathology 2020: 113200M - [c13]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: 113200J - [i22]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 abs/2002.05459 (2020) - [i21]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 abs/2004.09666 (2020) - [i20]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 abs/2006.13932 (2020) - [i19]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 abs/2006.16670 (2020) - [i18]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 abs/2008.12949 (2020) - [i17]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 abs/2009.10190 (2020)
2010 – 2019
- 2019
- [j6]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): 3075-3082 (2019) - [c12]Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. DGS@ICLR 2019 - [c11]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: 109501T - [c10]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: 1095011 - [c9]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: 109560N - [i16]Faisal Mahmood, Wenhao Xu, Nicholas J. Durr, Jeremiah W. Johnson, Alan L. Yuille:
Structured Prediction using cGANs with Fusion Discriminator. CoRR abs/1904.13358 (2019) - [i15]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 abs/1906.05360 (2019) - [i14]Richard J. Chen, Taylor L. Bobrow, Thomas L. Athey, Faisal Mahmood, Nicholas J. Durr:
SLAM Endoscopy enhanced by adversarial depth prediction. CoRR abs/1907.00283 (2019) - [i13]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 abs/1910.10825 (2019) - [i12]Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood:
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks. CoRR abs/1910.13328 (2019) - [i11]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 abs/1912.08937 (2019) - 2018
- [j5]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: 17326-17339 (2018) - [j4]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: 1403181:1-1403181:17 (2018) - [j3]Faisal Mahmood, Nicholas J. Durr:
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy. Medical Image Anal. 48: 230-243 (2018) - [j2]Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst:
Adaptive Graph-Based Total Variation for Tomographic Reconstructions. IEEE Signal Process. Lett. 25(5): 700-704 (2018) - [j1]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): 2572-2581 (2018) - [c8]Faisal Mahmood, Nicholas J. Durr:
Topographical reconstructions from monocular optical colonoscopy images via deep learning. ISBI 2018: 216-219 - [c7]Faisal Mahmood, Nicholas J. Durr:
Deep learning-based depth estimation from a synthetic endoscopy image training set. Medical Imaging: Image Processing 2018: 1057421 - [i10]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 abs/1805.08400 (2018) - [i9]Richard J. Chen, Faisal Mahmood, Alan L. Yuille, Nicholas J. Durr:
Rethinking Monocular Depth Estimation with Adversarial Training. CoRR abs/1808.07528 (2018) - [i8]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 abs/1810.00236 (2018) - [i7]Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni, Nicholas J. Durr:
DeepLSR: Deep learning approach for laser speckle reduction. CoRR abs/1810.10039 (2018) - [i6]Faisal Mahmood, Ziyun Yang, Thomas Ashley, Nicholas J. Durr:
Multimodal Densenet. CoRR abs/1811.07407 (2018) - 2017
- [c6]Donald G. Bailey, Faisal Mahmood, Ulf Skoglund:
Reducing the Cost of Removing Border Artefacts in Fourier Transforms. HEART 2017: 11:1-11:6 - [i5]Faisal Mahmood, Nicholas J. Durr:
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy. CoRR abs/1710.11216 (2017) - [i4]Faisal Mahmood, Richard J. Chen, Nicholas J. Durr:
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training. CoRR abs/1711.06606 (2017) - 2016
- [c5]Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund:
Graph-based sinogram denoising for tomographic reconstructions. EMBC 2016: 3961-3664 - [i3]Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund:
Graph Based Sinogram Denoising for Tomographic Reconstructions. CoRR abs/1603.04203 (2016) - [i2]Faisal Mahmood, Mart Toots, Lars-Göran Öfverstedt, Ulf Skoglund:
2D Discrete Fourier Transform with Simultaneous Edge Artifact Removal for Real-Time Applications. CoRR abs/1603.05154 (2016) - [i1]Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst:
Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions. CoRR abs/1610.00893 (2016) - 2015
- [c4]Faisal Mahmood, Mart Toots, Lars-Goran Ofverstedt, Ulf Skoglund:
2D Discrete Fourier Transform with simultaneous edge artifact removal for real-time applications. FPT 2015: 236-239 - 2014
- [c3]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: 5438-5441 - [c2]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: 90360I - 2012
- [c1]Faisal Mahmood, Arslan Zia, Mehak Fatima:
An intelligent approach for generation of muscular electrotherapy stimulation waveforms. BHI 2012: 997-1000
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-04 21:43 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
