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Siddhesh Thakur
Siddhesh Thakur
University of Pennsylvania
Verified email at iu.edu
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Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17412018
Deep learning radiomics algorithm for gliomas (drag) model: a novel approach using 3d unet based deep convolutional neural network for predicting survival in gliomas
U Baid, S Talbar, S Rane, S Gupta, MH Thakur, A Moiyadi, S Thakur, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
652019
The cancer imaging phenomics toolkit (CaPTk): technical overview
S Pati, A Singh, S Rathore, A Gastounioti, M Bergman, P Ngo, SM Ha, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020
642020
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training
S Thakur, J Doshi, S Pati, S Rathore, C Sako, M Bilello, SM Ha, G Shukla, ...
NeuroImage 220, 117081, 2020
612020
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ...
Communications Engineering 2 (1), 23, 2023
402023
Systematic evaluation of image tiling adverse effects on deep learning semantic segmentation
GA Reina, R Panchumarthy, SP Thakur, A Bastidas, S Bakas
Frontiers in neuroscience 14, 494590, 2020
392020
Brain tumor segmentation based on 3D residual U-Net
M Bhalerao, S Thakur
International MICCAI brainlesion workshop, 218-225, 2019
322019
Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset
S Pati, R Verma, H Akbari, M Bilello, VB Hill, C Sako, R Correa, N Beig, ...
Medical physics 47 (12), 6039-6052, 2020
302020
Pattern of ear, nose, pharynx, larynx and oesophagus (enplo) cancers in a rural based hospital
S Thakur, VN Chaturvedi, AKK Singh, MP Puttewar, RM Raizada
Indian Journal of Otolaryngology and Head and Neck Surgery 53, 93-99, 2001
292001
Skull-stripping of glioblastoma MRI scans using 3D deep learning
SP Thakur, J Doshi, S Pati, SM Ha, C Sako, S Talbar, U Kulkarni, ...
International MICCAI Brainlesion Workshop, 57-68, 2019
232019
The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research
S Pati, U Baid, B Edwards, MJ Sheller, P Foley, GA Reina, S Thakur, ...
Physics in Medicine & Biology 67 (20), 204002, 2022
162022
Federated learning for the classification of tumor infiltrating lymphocytes
U Baid, S Pati, TM Kurc, R Gupta, E Bremer, S Abousamra, SP Thakur, ...
arXiv preprint arXiv:2203.16622, 2022
152022
Response of rice to nitrogen and zinc application in a calcareous situation
AK Singh, S Thakur, SK Singh
International Rice Research Notes (Philippines) 20 (2), 1995
141995
The federated tumor segmentation (fets) initiative: The first real-world large-scale data-private collaboration focusing on neuro-oncology
U Baid, S Pati, S Thakur, B Edwards, M Sheller, J Martin, S Bakas
Neuro-Oncology 23, 135-135, 2021
92021
GBM segmentation with 3D U-Net and survival prediction with radiomics
U Baid, A Mahajan, S Talbar, S Rane, S Thakur, A Moiyadi, M Thakur, ...
Pre-conference proceedings of the 7th medical image computing and computer …, 2018
92018
Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1
R Chitalia, S Pati, M Bhalerao, SP Thakur, N Jahani, V Belenky, ...
Scientific data 9 (1), 440, 2022
82022
Optimization of deep learning based brain extraction in mri for low resource environments
SP Thakur, S Pati, R Panchumarthy, D Karkada, J Wu, D Kurtaev, C Sako, ...
International MICCAI Brainlesion Workshop, 151-167, 2021
42021
Estimating glioblastoma biophysical growth parameters using deep learning regression
S Pati, V Sharma, H Aslam, SP Thakur, H Akbari, A Mang, S Subramanian, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021
42021
Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions
SP Thakur, M Schindler, M Bilello, S Bakas
Frontiers in Medicine, 639, 2022
32022
Pose estimation for distracted driver detection using deep convolutional neural networks
S Thakur, B Baheti, S Gajre, S Talbar
Computer Vision Applications: Third Workshop, WCVA 2018, Held in Conjunction …, 2019
32019
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