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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
902020
Movement science needs different pose tracking algorithms
N Seethapathi, S Wang, R Saluja, G Blohm, KP Kording
arXiv preprint arXiv:1907.10226, 2019
69*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
442019
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
132023
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
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
92022
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
42024
Compressive correlation holography
R Saluja, G Subrahmanyam, D Mishra, RV Vinu, RK Singh
Applied Optics 56 (24), 6949-6955, 2017
32017
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
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