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Shashank Subramanian
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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
10112018
A novel domain adaptation framework for medical image segmentation
A Gholami, S Subramanian, V Shenoy, N Himthani, X Yue, S Zhao, P Jin, ...
International MICCAI Brainlesion Workshop, 289-298, 2018
372018
Integrated biophysical modeling and image analysis: application to neuro-oncology
A Mang, S Bakas, S Subramanian, C Davatzikos, G Biros
Annual review of biomedical engineering 22, 309, 2020
242020
Simulation of glioblastoma growth using a 3D multispecies tumor model with mass effect
S Subramanian, A Gholami, G Biros
Journal of mathematical biology 79 (3), 941-967, 2019
222019
Fourcastnet: A global data-driven high-resolution weather model using adaptive fourier neural operators
J Pathak, S Subramanian, P Harrington, S Raja, A Chattopadhyay, ...
arXiv preprint arXiv:2202.11214, 2022
192022
Where did the tumor start? An inverse solver with sparse localization for tumor growth models
S Subramanian, K Scheufele, M Mehl, G Biros
Inverse problems 36 (4), 045006, 2020
152020
Multiatlas calibration of biophysical brain tumor growth models with mass effect
S Subramanian, K Scheufele, N Himthani, G Biros
International Conference on Medical Image Computing and Computer-Assisted …, 2020
112020
SIBIA-GlS: Scalable biophysics-based image analysis for glioma segmentation
A Mang, S Tharakan, A Gholami, N Nimthani, S Subramanian, J Levitt, ...
Proc BraTS 2017 Workshop, 197-204, 2017
102017
Quantitative in vivo imaging to enable tumor forecasting and treatment optimization
G Lorenzo, DA Hormuth II, AM Jarrett, EABF Lima, S Subramanian, ...
arXiv preprint arXiv:2102.12602, 2021
72021
Fully automatic calibration of tumor-growth models using a single mpMRI scan
K Scheufele, S Subramanian, G Biros
IEEE transactions on medical imaging 40 (1), 193-204, 2020
52020
Evaluation of ramp-type micro vortex generators using swirl center tracking
JPS Sandhu, S Ghosh, S Subramanian, P Sharma
AIAA Journal 56 (9), 3449-3459, 2018
52018
Automatic MRI-driven model calibration for advanced brain tumor progression analysis
K Scheufele, S Subramanian, G Biros
arXiv preprint arXiv:2001.09173, 2020
42020
Image-driven biophysical tumor growth model calibration
K Scheufele, S Subramanian, A Mang, G Biros, M Mehl
SIAM journal on scientific computing: a publication of the Society for …, 2020
42020
Evaluation of some wedge-shaped vortex generators using swirl center tracking
JPS Sandhu, S Subramanian, S Ghosh, P Sharma
8th AIAA Flow Control Conference, 4086, 2016
32016
Glioblastoma biophysical growth estimation using deep learning-based regression
S Pati, V Sharma, H Aslam, S Thakur, H Akbari, A Mang, S Subramanian, ...
Neuro-Oncology 22 (Supplement_2), ii229-ii229, 2020
12020
Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRI
K Scheufele, S Subramanian, G Biros
arXiv preprint arXiv:2007.01236, 2020
12020
Adaptive Self-supervision Algorithms for Physics-informed Neural Networks
S Subramanian, RM Kirby, MW Mahoney, A Gholami
arXiv e-prints, arXiv: 2207.04084, 2022
2022
High-performance inversion algorithms for brain tumor growth models in personalized medicine
S Subramanian
2021
Ensemble inversion for brain tumor growth models with mass effect
S Subramanian, K Scheufele, N Himthani, C Davatzikos, G Biros
arXiv preprint arXiv:2106.06016, 2021
2021
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression
S Pati, V Sharma, H Aslam, SP Thakur, H Akbari, A Mang, S Subramanian, ...
International MICCAI Brainlesion Workshop, 157-167, 2020
2020
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