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Rachit Saluja
Rachit Saluja
Cornell University, Cornell Tech & Weill Cornell Medicine
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Computer vision to automatically assess infant neuromotor risk
C Chambers, N Seethapathi, R Saluja, H Loeb, SR Pierce, DK Bogen, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (11 …, 2020
942020
Movement science needs different pose tracking algorithms
N Seethapathi, S Wang, R Saluja, G Blohm, KP Kording
arXiv preprint arXiv:1907.10226, 2019
70*2019
Multi-disease segmentation of gliomas and white matter hyperintensities in the BraTS data using a 3D convolutional neural network
JD Rudie, DA Weiss, R Saluja, AM Rauschecker, J Wang, L Sugrue, ...
Frontiers in Computational Neuroscience 13, 84, 2019
452019
The brain tumor segmentation (brats-mets) challenge 2023: Brain metastasis segmentation on pre-treatment mri
AW Moawad, A Janas, U Baid, D Ramakrishnan, L Jekel, K Krantchev, ...
ArXiv, 2023
222023
Longitudinal assessment of posttreatment diffuse glioma tissue volumes with three-dimensional convolutional neural networks
JD Rudie, E Calabrese, R Saluja, D Weiss, JB Colby, S Cha, CP Hess, ...
Radiology: Artificial Intelligence 4 (5), e210243, 2022
162022
Automated multiclass tissue segmentation of clinical brain MRIs with lesions
DA Weiss, R Saluja, L Xie, JC Gee, LP Sugrue, A Pradhan, RN Bryan, ...
NeuroImage: Clinical 31, 102769, 2021
132021
The University of California San Francisco, Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset
JD Rudie, R Saluja, DA Weiss, P Nedelec, E Calabrese, JB Colby, ...
Radiology: Artificial Intelligence, e230126, 2024
72024
Compressive correlation holography
R Saluja, G Subrahmanyam, D Mishra, RV Vinu, RK Singh
Applied Optics 56 (24), 6949-6955, 2017
32017
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
D LaBella, U Baid, O Khanna, S McBurney-Lin, R McLean, P Nedelec, ...
arXiv preprint arXiv:2405.09787, 2024
12024
A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation
D LaBella, O Khanna, S McBurney-Lin, R Mclean, P Nedelec, AS Rashid, ...
Scientific Data 11 (1), 496, 2024
12024
A framework for interpretability in machine learning for medical imaging
AQ Wang, BK Karaman, H Kim, J Rosenthal, R Saluja, SI Young, ...
IEEE Access, 2024
12024
Brain Tumor Segmentation (BraTS) Challenge 2024: Meningioma Radiotherapy Planning Automated Segmentation
D LaBella, K Schumacher, M Mix, K Leu, S McBurney-Lin, P Nedelec, ...
arXiv preprint arXiv:2405.18383, 2024
2024
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
MC de Verdier*, R Saluja*, L Gagnon, D LaBella, U Baid, NH Tahon, ...
arXiv preprint arXiv:2405.18368, 2024
2024
BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration
AQ Wang, R Saluja, H Kim, X He, A Dalca, MR Sabuncu
arXiv preprint arXiv:2405.14019, 2024
2024
The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
M Correia de Verdier, R Saluja, L Gagnon, D LaBella, U Baid, ...
arXiv e-prints, arXiv: 2405.18368, 2024
2024
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