Siddhesh P. Thakur

According to our database, Siddhesh P. Thakur authored at least 16 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Skull stripping with purely synthetic data.

Jong Sung Park, Juhyung Ha, Siddhesh P. Thakur, Alexandra Badea, Spyridon Bakas, Eleftherios Garyfallidis

CoRR, May, 2025

An Unsupervised Brain Extraction Quality Control Approach for Efficient Neuro-Oncology Studies.

Sarthak Pati, Stefan Wagner, Siddhesh P. Thakur, Evan Calabrese, Russell T. Shinohara, Spyridon Bakas

J. Imaging Inform. Medicine, 2025

Optimization of deep learning models for inference in low resource environments.

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

Comput. Biol. Medicine, 2025

My Model Is Better Than Yours! Statistically-Aware Ranking for Fair Benchmarking of AI Models.

Spyridon Bakas, Siddhesh P. Thakur, Ujjwal Baid, Akis Linardos, Sarthak Pati, Jimit Doshi, Russell T. Shinohara

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

2024

Biochemical Prostate Cancer Recurrence Prediction: Thinking Fast & Slow.

Suhang You, Sanyukta Adap, Siddhesh P. Thakur, Bhakti Baheti, Spyridon Bakas

CoRR, 2024

BraTS-Path Challenge: Assessing Heterogeneous Histopathologic Brain Tumor Sub-regions.

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

CoRR, 2024

Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning.

Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas

Proceedings of the IEEE International Conference on Big Data, 2024

2022

Federated Learning for the Classification of Tumor Infiltrating Lymphocytes.

Ujjwal Baid, Sarthak Pati, Tahsin M. Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas

CoRR, 2022

2021

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging.

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

CoRR, 2021

Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments.

Siddhesh P. Thakur, Sarthak Pati, Ravi Panchumarthy, Deepthi Karkada, Junwen Wu, Dmitry Kurtaev, Chiharu Sako, Prashant Shah, Spyridon Bakas

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training.

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

NeuroImage, 2020

Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression.

Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning.

Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar, Uday Kulkarni, Christos Davatzikos, Güray Erus, Spyridon Bakas

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Brain Tumor Segmentation Based on 3D Residual U-Net.

Megh Bhalerao, Siddhesh P. Thakur

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model: A Novel Approach Using 3D UNET Based Deep Convolutional Neural Network for Predicting Survival in Gliomas.

Ujjwal Baid, Sanjay N. Talbar, Swapnil Rane, Sudeep Gupta, Meenakshi H. Thakur, Aliasgar Moiyadi, Siddhesh P. Thakur, Abhishek Mahajan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018