Faisal Mahmood
Orcid: 0000-0001-7587-1562
According to our database1,
Faisal Mahmood
authored at least 64 papers
between 2012 and 2024.
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Bibliography
2024
2023
Fridolin: participatory design and evaluation of a nutrition chatbot for older adults.
i-com, April, 2023
CoRR, 2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction.
CoRR, 2023
CoRR, 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis.
IEEE Trans. Medical Imaging, 2022
Medical Image Anal., 2022
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., 2022
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.
Medical Image Anal., 2022
Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos.
Medical Image Anal., 2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning.
CoRR, 2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images.
IEEE Trans. Medical Imaging, 2020
GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary.
CoRR, 2020
CoRR, 2020
Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation).
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation).
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation).
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding.
CoRR, 2019
Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Polyp segmentation and classification using predicted depth from monocular endoscopy.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Fusing attributes predicted via conditional GANs for improved skin lesion classification (Conference Presentation).
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
2018
Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training.
IEEE Trans. Medical Imaging, 2018
IEEE Signal Process. Lett., 2018
Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy.
Medical Image Anal., 2018
Algorithm and Architecture Optimization for 2D Discrete Fourier Transforms with Simultaneous Edge Artifact Removal.
Int. J. Reconfigurable Comput., 2018
Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images.
CoRR, 2018
An Extended Field-Based Method for Noise Removal From Electron Tomographic Reconstructions.
IEEE Access, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Topographical reconstructions from monocular optical colonoscopy images via deep learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the 8th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2017
2016
Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions.
CoRR, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
2D Discrete Fourier Transform with simultaneous edge artifact removal for real-time applications.
Proceedings of the 2015 International Conference on Field Programmable Technology, 2015
2014
Optical surface scanning for respiratory motion monitoring in radiotherapy: a feasibility study.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
On the effect of subliminal priming on subjective perception of images: A machine learning approach.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2012
An intelligent approach for generation of muscular electrotherapy stimulation waveforms.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012