Satrajit Chakrabarty

16 papers B 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
QCResUNet: Joint subject-level and voxel-level segmentation quality prediction.
Medical Image Anal.
Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
2025 J jnl
Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data.
CoRR
Satrajit Chakrabarty, Ravi Soni
2025 — conf
SynthFM: Training Modality-Agnostic Foundation Models for Medical Image Segmentation Without Real Medical Data.
ISBI
Sourya Sengupta, Satrajit Chakrabarty, Keerthi Sravan Ravi, Gopal Avinash, Ravi Soni
2025 J jnl
SynthFM: Training Modality-agnostic Foundation Models for Medical Image Segmentation without Real Medical Data.
CoRR
Sourya Sengupta, Satrajit Chakrabarty, Keerthi Sravan Ravi, Gopal Avinash, Ravi Soni
2024 J jnl
Is SAM 2 Better than SAM in Medical Image Segmentation?
CoRR
Sourya Sengupta, Satrajit Chakrabarty, Ravi Soni
2024 J jnl
QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction.
CoRR
Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
2023 J jnl
Framing image registration as a landmark detection problem for better representation of clinical relevance.
CoRR
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, Bjoern H. Menze
2023 — conf
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network.
Computer-Aided Diagnosis
Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
2023 — conf
Primitive Simultaneous Optimization of Similarity Metrics for Image Registration.
BrainLes/SWITCH@MICCAI
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, Bjoern H. Menze, Florian Kofler
2023 — conf
QCResUNet: Joint Subject-Level and Voxel-Level Prediction of Segmentation Quality.
MICCAI (4)
Peijie Qiu, Satrajit Chakrabarty, Phuc Nguyen, Soumyendu Sekhar Ghosh, Aristeidis Sotiras
2022 J jnl
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO).
CoRR
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, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus
2022 J jnl
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network.
CoRR
Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
2021 B conf
BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images.
Image Processing
Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford G. Robinson, Daniel S. Marcus
2021 J jnl
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR
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, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas
2016 J jnl
Quantitative evaluation of margin sharpness of pulmonary nodules in lung CT images.
IET Image Process.
Ashis Kumar Dhara, Sudipta Mukhopadhyay, Satrajit Chakrabarty, Mandeep Garg, Niranjan Khandelwal
2015 — conf
A fast local gradient based super-resolution image reconstruction algorithm with fuzzy hyper-bias learning and sparse monitoring paradigm.
ReTIS
Soumya Goswami, Satrajit Chakrabarty, Pramit Saha