Faisal Mahmood

According to our database1, Faisal Mahmood authored at least 40 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
VR-Caps: A Virtual Environment for Capsule Endoscopy.
Medical Image Anal., 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

EndoL2H: Deep Super-Resolution for Capsule Endoscopy.
IEEE Trans. Medical Imaging, 2020

ERP issues and challenges: a research synthesis.
Kybernetes, 2020

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images.
CoRR, 2020

Quantitative Evaluation of Endoscopic SLAM Methods: EndoSLAM Dataset.
CoRR, 2020

Deep Learning-based Computational Pathology Predicts Origins for Cancers of Unknown Primary.
CoRR, 2020

Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images.
CoRR, 2020

EndoL2H: Deep Super-Resolution for Capsule Endoscopy.
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

Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Learning to Navigate Endoscopic Capsule Robots.
IEEE Robotics Autom. Lett., 2019

Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis.
CoRR, 2019

Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding.
CoRR, 2019

SLAM Endoscopy enhanced by adversarial depth prediction.
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

Structured Prediction using cGANs with Fusion Discriminator.
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

Adaptive Graph-Based Total Variation for Tomographic Reconstructions.
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

Multimodal Densenet.
CoRR, 2018

DeepLSR: Deep learning approach for laser speckle reduction.
CoRR, 2018

Rethinking Monocular Depth Estimation with Adversarial Training.
CoRR, 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

Deep learning-based depth estimation from a synthetic endoscopy image training set.
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
Reducing the Cost of Removing Border Artefacts in Fourier Transforms.
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

Graph-based sinogram denoising for tomographic reconstructions.
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


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