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Ruchika Verma
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A dataset and a technique for generalized nuclear segmentation for computational pathology
N Kumar, R Verma, S Sharma, S Bhargava, A Vahadane, A Sethi
IEEE transactions on medical imaging 36 (7), 1550-1560, 2017
9002017
A Multi-organ Nucleus Segmentation Challenge
N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ...
IEEE transactions on medical imaging, 2019
4062019
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
1632022
MoNuSAC2020: A multi-organ nuclei segmentation and classification challenge
R Verma, N Kumar, A Patil, NC Kurian, S Rane, S Graham, QD Vu, ...
IEEE Transactions on Medical Imaging 40 (12), 3413-3423, 2021
1292021
Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma
N Beig, K Bera, P Prasanna, J Antunes, R Correa, S Singh, ...
Clinical Cancer Research 26 (8), 1866-1876, 2020
882020
Convolutional neural networks for wavelet domain super resolution
N Kumar, R Verma, A Sethi
Pattern Recognition Letters 90, 65-71, 2017
602017
Convolutional neural networks for prostate cancer recurrence prediction
N Kumar, R Verma, A Arora, A Kumar, S Gupta, A Sethi, PH Gann
Medical Imaging 2017: Digital Pathology 10140, 101400H, 2017
582017
MRQy—An open‐source tool for quality control of MR imaging data
AR Sadri, A Janowczyk, R Zhou, R Verma, N Beig, J Antunes, ...
Medical Physics 47 (12), 6029-6038, 2020
482020
Multi-organ nuclei segmentation and classification challenge 2020
R Verma, N Kumar, A Patil, NC Kurian, S Rane, A Sethi
IEEE transactions on medical imaging 39 (1380-1391), 8, 2020
402020
Tumor habitat–derived radiomic features at pretreatment MRI that are prognostic for progression-free survival in glioblastoma are associated with key morphologic attributes at …
R Verma, R Correa, VB Hill, V Statsevych, K Bera, N Beig, A Mahammedi, ...
Radiology: Artificial Intelligence 2 (6), e190168, 2020
312020
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
Detecting multiple sub-types of breast cancer in a single patient
R Verma, N Kumar, A Sethi, PH Gann
2016 IEEE International Conference on Image Processing (ICIP), 2648-2652, 2016
162016
Computer extracted features of nuclear morphology in hematoxylin and eosin images distinguish Stage II and IV colon tumors
N Kumar, R Verma, C Chen, C Lu, P Fu, J Willis, A Madabhushi
The Journal of Pathology, 2022
122022
The Pursuit of Generalizability to Enable Clinical Translation of Radiomics
P Tiwari, R Verma
Radiology: Artificial Intelligence 3 (1), e200227, 2020
122020
Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study
R Verma, VB Hill, V Statsevych, K Bera, R Correa, P Leo, M Ahluwalia, ...
American Journal of Neuroradiology 43 (8), 1115-1123, 2022
72022
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls
Y Hiremath, M Ismail, R Verma, J Antunes, P Tiwari
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 445-451, 2020
52020
Author’s Reply to “MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge”
R Verma, N Kumar, A Patil, NC Kurian, S Rane, A Sethi
IEEE Transactions on Medical Imaging 41 (4), 1000-1003, 2022
42022
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction
S Qi, N Kumar, R Verma, JY Xu, G Shen-Tu, R Greiner
IEEE Transactions on Biomedical Engineering, 2023
32023
Author Correction: Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 14 (1), 436, 2023
32023
Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a …
S Iyer, M Ismail, B Tamrazi, R Salloum, P de Blank, A Margol, R Correa, ...
Frontiers in Oncology 12, 915143, 2022
32022
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