Rohan Dharmakumar

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 21

Top Topics

Myocardial Perfusion

Top Venues

IEEE Trans. Medical Imaging

Publications

Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris
The MRI Scanner as a Diagnostic: Image-less Active Sampling. CoRR (2024)
Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobak Heydari, Orlando Simonetti, Rohan Dharmakumar, Subha Raman, Behzad Sharif
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets. CoRR (2023)
Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CLIP/FAIMI/EPIMI@MICCAI (2023)
Yuning Du, Yuyang Xue, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction. CoRR (2023)
Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobak Heydari, Orlando Simonetti, Rohan Dharmakumar, Subha Raman, Behzad Sharif
Temporal Uncertainty Localization to Enable Human-in-the-Loop Analysis of Dynamic Contrast-Enhanced Cardiac MRI Datasets. MICCAI (3) (2023)
Khalid Youssef, Bobby Heydari, Luis Zamudio Rivero, Taylor Beaulieu, Karandeep Cheema, Rohan Dharmakumar, Behzad Sharif
A Patch-Wise Deep Learning Approach for Myocardial Blood Flow Quantification with Robustness to Noise and Nonrigid Motion. EMBC (2021)
Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging 40 (3) (2021)
Dilek Mirgun Yalcinkaya, Khalid Youssef, Bobby Heydari, Luis Zamudio, Rohan Dharmakumar, Behzad Sharif
Deep Learning-Based Segmentation and Uncertainty Assessment for Automated Analysis of Myocardial Perfusion MRI Datasets Using Patch-Level Training and Advanced Data Augmentation. EMBC (2021)
Hazar Benan Unal, Taylor Beaulieu, Luis Zamudio Rivero, Rohan Dharmakumar, Behzad Sharif
Retrospective Detection and Suppression of Dark-Rim Artifacts in First-Pass Perfusion Cardiac MRI Enabled by Deep Learning. EMBC (2021)
Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI (2020)
Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
Semi-supervised Pathology Segmentation with Disentangled Representations. CoRR (2020)
Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR (2019)
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Disentangled representation learning in cardiac image analysis. Medical Image Anal. 58 (2019)
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Factorised Representation Learning in Cardiac Image Analysis. CoRR (2019)
Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI (2019)
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Factorised spatial representation learning: application in semi-supervised myocardial segmentation. CoRR (2018)
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. MICCAI (2) (2018)
Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris
Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. SASHIMI@MICCAI (2017)
Ilkay Öksüz, Anirban Mukhopadhyay, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unsupervised Myocardial Segmentation for Cardiac BOLD. IEEE Trans. Medical Imaging 36 (11) (2017)
Ilkay Öksüz, Rohan Dharmakumar, Sotirios A. Tsaftaris
Joint Myocardial Registration and Segmentation of Cardiac BOLD MRI. STACOM@MICCAI (2017)
Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Dictionary-Driven Ischemia Detection From Cardiac Phase-Resolved Myocardial BOLD MRI at Rest. IEEE Trans. Medical Imaging 35 (1) (2016)
Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Data-Driven Feature Learning for Myocardial Segmentation of CP-BOLD MRI. FIMH (2015)
Anirban Mukhopadhyay, Ilkay Öksüz, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Unsupervised Myocardial Segmentation for Cardiac MRI. MICCAI (3) (2015)
Ilkay Öksüz, Anirban Mukhopadhyay, Marco Bevilacqua, Rohan Dharmakumar, Sotirios A. Tsaftaris
Dictionary Learning Based Image Descriptor for Myocardial Registration of CP-BOLD MR. MICCAI (2) (2015)
Cristian Rusu, Rita Morisi, Davide Boschetto, Rohan Dharmakumar, Sotirios A. Tsaftaris
Synthetic Generation of Myocardial Blood-Oxygen-Level-Dependent MRI Time Series Via Structural Sparse Decomposition Modeling. IEEE Trans. Medical Imaging 33 (7) (2014)
Sotirios A. Tsaftaris, Valentin Andermatt, Andre Schlegel, Aggelos K. Katsaggelos, Debiao Li, Rohan Dharmakumar
A dynamic programming solution to tracking and elastically matching left ventricular walls in cardiac cine MRI. ICIP (2008)