Rohan Dharmakumar

According to our database, Rohan Dharmakumar authored at least 21 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets.

Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobak Heydari, Orlando Simonetti, Rohan Dharmakumar, Subha Raman, Behzad Sharif

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction.

Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2021

Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation.

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2021

A Patch-Wise Deep Learning Approach for Myocardial Blood Flow Quantification with Robustness to Noise and Nonrigid Motion.

Khalid Youssef, Bobby Heydari, Luis Zamudio Rivero, Taylor Beaulieu, Karandeep Cheema, Rohan Dharmakumar, Behzad Sharif

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Deep Learning-Based Segmentation and Uncertainty Assessment for Automated Analysis of Myocardial Perfusion MRI Datasets Using Patch-Level Training and Advanced Data Augmentation.

Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobby Heydari, Luis Zamudio, Rohan Dharmakumar, Behzad Sharif

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Retrospective Detection and Suppression of Dark-Rim Artifacts in First-Pass Perfusion Cardiac MRI Enabled by Deep Learning.

Hazar Benan Unal, Taylor Beaulieu, Luis Zamudio Rivero, Rohan Dharmakumar, Behzad Sharif

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Semi-supervised Pathology Segmentation with Disentangled Representations.

Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019

Disentangled representation learning in cardiac image analysis.

Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

Medical Image Anal., 2019

Disentangle, align and fuse for multimodal and zero-shot image segmentation.

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

CoRR, 2019

Factorised Representation Learning in Cardiac Image Analysis.

Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

CoRR, 2019

Multimodal Cardiac Segmentation Using Disentangled Representation Learning.

Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

2018

Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation.

Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Unsupervised Myocardial Segmentation for Cardiac BOLD.

Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2017

Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI.

Ilkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017

Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data.

Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

2016

Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest.

Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2016

2015

Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR.

Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Unsupervised Myocardial Segmentation for Cardiac MRI.

Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI.

Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris

Proceedings of the Functional Imaging and Modeling of the Heart, 2015

2014

Synthetic Generation of Myocardial Blood-Oxygen-Level-Dependent MRI Time Series Via Structural Sparse Decomposition Modeling.

Cristian Rusu, Rita Morisi, Davide Boschetto, Rohan Dharmakumar, Sotirios A. Tsaftaris

IEEE Trans. Medical Imaging, 2014

2008

A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI.

Sotirios A. Tsaftaris, Valentin Andermatt, Andre Schlegel, Aggelos K. Katsaggelos, Debiao Li, Rohan Dharmakumar

Proceedings of the International Conference on Image Processing, 2008