Publications
Research outputs
Selected publications in medical imaging and machine learning. Browse the broader record on Google Scholar.
Recent papers & preprints
CRIL-U-Net: Compact Ratio-Interaction Learning for Focal Cortical Dysplasia Segmentation from T1w and FLAIR MRI
Ghosh S, Mandal S, Goswami T, Arya AS, Phamnguyen J, Vashistha R. 2026.
Accepted at the International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD), Edinburgh, United Kingdom, 2026.
Preprint ↗Recent papers & preprints
Benchmarking MRI Representations for Deep Learning-Based Focal Cortical Dysplasia Segmentation
Ghosh S, Phamnguyen J, Arya AS, Mandal S, Goswami T, Vashistha R. 2026.
Accepted at the 11th International Conference on Computer Vision and Image Processing (CVIP 2026), National Institute of Technology Calicut, Kozhikode, Kerala, India, 9–12 December 2026. Preprint available.
Read on arXiv ↗Recent papers & preprints
NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach for Seizure Recurrence Prediction
Ghosh S, Vegh V, Moinian S, Moradi H, Sullivan AA, Phamnguyen J, Reutens D. 2024. Preprint.
Read on arXiv ↗Journal articles
Image synthesis of interictal SPECT from MRI and PET using machine learning
Fard AS, Reutens DC, Ramsay SC, Goodman SJ, Ghosh S, Vegh V.
Frontiers in Neurology, 15:1383773, 2024.
Read article ↗Journal articles
Automated extraction of the arterial input function from brain images for parametric PET studies
Moradi H, Vashistha R, Ghosh S, O’Brien K, Hammond A, Rominger A, Sari H, Shi K, Vegh V, Reutens DC.
EJNMMI Research, 14:33, 2024.
Read article ↗Published conference papers
Stress-testing cross-cancer generalizability of 3D nnU-Net for PET-CT tumour segmentation: multi-cohort evaluation with novel oesophageal and lung cancer datasets
Ghosh S, Jestin Hannan C, Vashistha R, Kundu P, Brosda S, Aoude LG, Lonie J, Nathanson A, Ng J, Barbour AP, Vegh V.
International Conference on Computer Vision and Image Processing (CVIP), Indian Institute of Technology Ropar, Rupnagar, India, 2025. Published conference paper.
arXiv version ↗Published conference papers
RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
Basha SHS, Ghosh S, Babu KK, Dubey SR, Pulabaigari V, Mukherjee S. International Conference on Control, Automation, Robotics and Vision (ICARCV), Singapore, IEEE, 2018, pp. 1222–1227.
Publisher ↗Published conference papers
Third Order Backward Elimination Approach for Fuzzy-Rough Set based Feature Selection
Ghosh S, Sai Prasad PSVS, Rao CR. International Conference on Pattern Recognition and Machine Intelligence (PReMI), Indian Statistical Institute, Kolkata, India, LNCS 10597, 2017, pp. 254–262.
Publisher ↗Published conference papers
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
Ghosh S, Sai Prasad PSVS, Rao CR. Multi-Disciplinary International Workshop on Artificial Intelligence (MIWAI), Chiang Mai, Thailand, 2016, pp. 38–49.
Publisher ↗Conference Abstracts
Deep Learning-Based Segmentation of Cerebellar Peduncles Using Diffusion MRI
Soumen Ghosh, Susmita Saha, Diogo H Shiraishi, Thiago J Rezende, Ian Harding, TRACK-FA Neuroimaging Consortium.
2026 · International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting & Exhibition · Cape Town, South Africa · Conference abstract.
ISMRM abstract record (full text requires access) ↗Conference Abstracts
Evaluating Deep Learning for Cerebellar Peduncle Segmentation: Assessing TractSeg’s Performance
Soumen Ghosh, Susmita Saha, Thiago Rezende, Ian Harding.
2025 · Organization for Human Brain Mapping (OHBM) Annual Meeting · Brisbane, Australia · Conference abstract.
OHBM abstract book (pp. 426–428) ↗Conference Abstracts
Unsupervised Learning for Lesion Detection on 7T Brain MRI in Patients with Focal Epilepsy
Soumen Ghosh, Viktor Vegh, John Phamnguyen, Shahrzad Moinian, David Reutens.
2024 · Organization for Human Brain Mapping (OHBM) Annual Meeting · Seoul, South Korea · Conference abstract.
Read abstract (PDF, p. 2241) ↗Conference Abstracts
Seizure Recurrence Prediction from MRI and Clinical Information Using Novel Brain Features for Machine Learning
Soumen Ghosh, Viktor Vegh, Alice-Ann Sullivan, Shahrzad Moinian, John Phamnguyen, David Reutens.
2023 · American Epilepsy Society (AES) Annual Meeting · Orlando, United States · Conference abstract.
Read abstract ↗Conference Abstracts
NeuroMorphix: a brain-specific feature construction approach for 3D brain MRI classification
Soumen Ghosh, Viktor Vegh, Shahrzad Moinian, Alice-Ann Sullivan, David Reutens.
2023 · International Society for Magnetic Resonance in Medicine, Australia and New Zealand Chapter (ISMRM ANZ) Annual Meeting, Brisbane, Australia · Conference abstract.
Google Scholar record ↗Conference Abstracts
Machine Learning-based Approach for Seizure Recurrence Prediction from Brain MRI
Soumen Ghosh, Viktor Vegh, Shahrzad Moinian, John Phamnguyen, Alice-Ann Sullivan, David Reutens.
2023 · Epilepsy Society of Australia (ESA), 37th Annual Scientific Meeting, Auckland, New Zealand · Conference abstract.
Google Scholar record ↗Conference Abstracts
Early EEG Increases the Rate of Detection of Epileptiform Abnormalities After First Seizure
Alice-Ann Sullivan, Rebecca Kerr, Xiaohua Chen, Fred Tremayne, Soumen Ghosh, David Reutens.
2022 · American Epilepsy Society (AES) Annual Meeting · Nashville, United States · Conference abstract.
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