A fast local gradient based super-resolution image reconstruction algorithm with fuzzy hyper-bias learning and sparse monitoring paradigm. - Soumya Goswami; Satrajit Chakrabarty; Pramit Saha (ReTIS, 2015)

Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images. - Ashis Kumar Dhara; Sudipta Mukhopadhyay; Satrajit Chakrabarty; Mandeep Garg; Niranjan Khandelwal (IET Image Process., 2016)

BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. - Satrajit Chakrabarty; Aristeidis Sotiras; Mikhail Milchenko; Pamela LaMontagne; Christopher Abraham; Clifford Robinson; Daniel S. Marcus (Image Processing, 2021)

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. - Bhakti Baheti; Diana Waldmannstetter; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; et al. (CoRR, 2021)

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). - Satrajit Chakrabarty; Syed Amaan Abidi; Mina Mousa; Mahati Mokkarala; Isabelle Hren; Divya Yadav; Matthew Kelsey; Pamela LaMontagne; John Wood; Michael Adams; Yuzhuo Su; Sherry Thorpe; et al. (CoRR, 2022)

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network. - Satrajit Chakrabarty; Pamela LaMontagne; Joshua S. Shimony; Daniel S. Marcus; Aristeidis Sotiras (CoRR, 2022)

Primitive Simultaneous Optimization of Similarity Metrics for Image Registration. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Daniel Rueckert; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; et al. (BrainLes/SWITCH@MICCAI, 2023)

Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. - Satrajit Chakrabarty; Pamela LaMontagne; Joshua S. Shimony; Daniel S. Marcus; Aristeidis Sotiras (Computer-Aided Diagnosis, 2023)

QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality. - Peijie Qiu; Satrajit Chakrabarty; Phuc Nguyen; Soumyendu Sekhar Ghosh; Aristeidis Sotiras (MICCAI (4), 2023)

Framing image registration as a landmark detection problem for better representation of clinical relevance. - Diana Waldmannstetter; Benedikt Wiestler; Julian Schwarting; Ivan Ezhov; Marie Metz; Spyridon Bakas; Bhakti Baheti; Satrajit Chakrabarty; Jan S. Kirschke; Rolf A. Heckemann; Marie Piraud; Florian Kofler; et al. (CoRR, 2023)

Is SAM 2 Better than SAM in Medical Image Segmentation? - Sourya Sengupta; Satrajit Chakrabarty; Ravi Soni (CoRR, 2024)

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction. - Peijie Qiu; Satrajit Chakrabarty; Phuc Nguyen; Soumyendu Sekhar Ghosh; Aristeidis Sotiras (CoRR, 2024)

SynthFM: Training Modality-Agnostic Foundation Models for Medical Image Segmentation Without Real Medical Data. - Sourya Sengupta; Satrajit Chakrabarty; Keerthi Sravan Ravi; Gopal Avinash; Ravi Soni (ISBI, 2025)

Brain Tumor Sequence Registration (BraTS-Reg) Challenge Dataset. - Bhakti Baheti; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; Brandon K. K. Fields; et al. (Zenodo, 2025)