Siddhesh P. Thakur

15 papers B 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
My Model Is Better Than Yours! Statistically-Aware Ranking for Fair Benchmarking of AI Models.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Spyridon Bakas, Siddhesh P. Thakur, Ujjwal Baid, Akis Linardos, Sarthak Pati, Jimit Doshi, Russell T. Shinohara
2025 J jnl
Optimization of deep learning models for inference in low resource environments.
Comput. Biol. Medicine
Siddhesh P. Thakur, Sarthak Pati, Junwen Wu, Ravi Panchumarthy, Deepthi Karkada, Alexander Kozlov, Vasily Shamporov, Alexander Suslov, Daniil Lyakhov, Maksim Proshin, Prashant Shah, Dimitrios Makris, Spyridon Bakas
2025 J jnl
Skull stripping with purely synthetic data.
CoRR
Jong Sung Park, Juhyung Ha, Siddhesh P. Thakur, Alexandra Badea, Spyridon Bakas, Eleftherios Garyfallidis
2024 J jnl
Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow.
CoRR
Suhang You, Sanyukta Adap, Siddhesh P. Thakur, Bhakti Baheti, Spyridon Bakas
2024 J jnl
BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions.
CoRR
Spyridon Bakas, Siddhesh P. Thakur, Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati, Shubham Innani, Bhakti Baheti, Jake Albrecht, Alexandros Karargyris, Hasan Kassem, MacLean P. Nasrallah, Jared T. Ahrendsen, Valeria Barresi, Maria A. Gubbiotti, Giselle Y. López, Calixto-Hope G. Lucas, Michael L. Miller, Lee A. D. Cooper, Jason T. Huse, William R. Bell
2024 B conf
Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning.
IEEE Big Data
Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas
2022 J jnl
Federated Learning for the Classification of Tumor Infiltrating Lymphocytes.
CoRR
Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas
2021 J jnl
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.
CoRR
Sarthak Pati, Siddhesh P. Thakur, Megh Bhalerao, Ujjwal Baid, Caleb M. Grenko, Brandon Edwards, Micah J. Sheller, Jose Agraz, Bhakti Baheti, Vishnu Bashyam, Parth Sharma, Babak Haghighi, Aimilia Gastounioti, Mark Bergman, Bjoern H. Menze, Despina Kontos, Christos Davatzikos, Spyridon Bakas
2021 — conf
Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments.
BrainLes@MICCAI (1)
Siddhesh P. Thakur, Sarthak Pati, Ravi Panchumarthy, Deepthi Karkada, Junwen Wu, Dmitry Kurtaev, Chiharu Sako, Prashant Shah, Spyridon Bakas
2020 J jnl
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.
NeuroImage
Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello, Sung Min Ha, Gaurav Shukla, Adam E. Flanders, Aikaterini Kotrotsou, Mikhail Milchenko, Spencer Liem, Gregory S. Alexander, Joseph Lombardo, Joshua D. Palmer, Pamela LaMontagne, Arash Nazeri, Sanjay N. Talbar, Spyridon Bakas
2020 — conf
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression.
BrainLes@MICCAI (1)
Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas
2019 — conf
Brain Tumor Segmentation Based on 3D Residual U-Net.
BrainLes@MICCAI (2)
Megh Bhalerao, Siddhesh P. Thakur
2019 — conf
Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning.
BrainLes@MICCAI (1)
Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar, Uday Kulkarni, Christos Davatzikos, Güray Erus, Spyridon Bakas
2019 — conf
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.
BrainLes@MICCAI (2)
Sarthak Pati, Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo, Sung Min Ha, Dimitrios Bounias, James Minock, Grayson Murphy, Hongming Li, Amit Bhattarai, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas
2018 — conf
Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas.
BrainLes@MICCAI (2)
Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Siddhesh P. Thakur, Abhishek Mahajan