Ruchika Verma
Title
Cited by
Cited by
Year
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
1662017
Convolutional neural networks for wavelet domain super resolution
N Kumar, R Verma, A Sethi
Pattern Recognition Letters 90, 65-71, 2017
172017
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
152019
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
142017
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
92016
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
12020
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways
N Beig, P Prasanna, V Hill, R Verma, V Varadan, A Madabhushi, P Tiwari
SPIE Medical Imaging, 2019, San Diego, California, United States 10950, 2019
12019
Nimg-26. Radiomic features of Glioblastoma on pre-treatment Gd-T1w MRI are predictive of response to chemo-radiation therapy and associated with AKT and apoptosis pathways
N Beig, P Prasanna, R Verma, V Hill, V Varadan, A Madabhushi, P Tiwari
Neuro-Oncology 20 (suppl_6), vi181, 2018
12018
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data
AR Sadri, A Janowczyk, R Zou, R Verma, J Antunes, A Madabhushi, ...
arXiv preprint arXiv:2004.04871, 2020
2020
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus normal controls
Y Hiremath, M Ismail, R Verma, J Antunes, P Tiwari
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 113141W, 2020
2020
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma
R Verma, R Correa, V Hill, N Beig, A Mahammedi, A Madabhushi, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109500B, 2019
2019
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI
S Iyer, M Ismail, B Tamrazi, A Margol, R Verma, R Correa, P Prasanna, ...
SPIE Medical Imaging, 2019, San Diego, California, United States 10950, 2019
2019
Multi-organ Nuclei Segmentation and Classification Challenge 2020
R Verma, N Kumar, A Patil, NC Kurian, S Rane, A Sethi
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