Publications

Selected publications and research outputs in medical imaging and machine learning. For the broader publication record, visit Google Scholar or ORCID.

Recent papers & preprints

CRIL-U-Net: Compact Ratio-Interaction Learning for Focal Cortical Dysplasia Segmentation from T1w and FLAIR MRI
Ghosh S, Arya AS, Goswami T, Mandal S, Phamnguyen J, Vashistha R. 2026.
Accepted at MICAD 2026. Preprint.

Benchmarking MRI Representations for Deep Learning-Based Focal Cortical Dysplasia Segmentation
Ghosh S, Phamnguyen J, Arya AS, Mandal S, Goswami T, Vashistha R. 2026. Preprint.
Read on arXiv.

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.

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), 2025. Published conference paper.
arXiv version.

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. ICARCV, IEEE, 2018, pp. 1222–1227.

Third Order Backward Elimination Approach for Fuzzy-Rough Set based Feature Selection
Ghosh S, Sai Prasad PSVS, Rao CR. PReMI, LNCS 10597, 2017, pp. 254–262.
Publisher.

An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection
Ghosh S, Sai Prasad PSVS, Rao CR. MIWAI, 2016, pp. 38–49.
Publisher.

Selected conference abstracts

Deep Learning-Based Segmentation of Cerebellar Peduncles Using Diffusion MRI
Soumen Ghosh, Susmita Saha, Diogo Shiraishi, Thiago Rezende, Ian Harding.
2026 · ISMRM · Conference abstract.

Evaluating Deep Learning for Cerebellar Peduncle Segmentation: Assessing TractSeg’s Performance
Soumen Ghosh, Susmita Saha, Ian Harding.
2025 · OHBM · Conference abstract.

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 · OHBM · Conference abstract.

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 · AES · Conference abstract.

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 · AES · Conference abstract.