| 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 | 867 | 2017 |
| 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 | 368 | 2019 |
| 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 | 130 | 2022 |
| 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 | 113 | 2021 |
| 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 | 80 | 2020 |
| Convolutional neural networks for wavelet domain super resolution N Kumar, R Verma, A Sethi Pattern Recognition Letters 90, 65-71, 2017 | 60 | 2017 |
| 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 | 56 | 2017 |
| 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 | 43 | 2020 |
| 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 | 33 | 2020 |
| 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 | 30 | 2020 |
| 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 | 27 | 2020 |
| 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 | 16 | 2016 |
| The Pursuit of Generalizability to Enable Clinical Translation of Radiomics P Tiwari, R Verma Radiology: Artificial Intelligence 3 (1), e200227, 2020 | 10 | 2020 |
| 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 | 7 | 2022 |
| 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 | 6 | 2022 |
| 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 | 5 | 2020 |
| 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 | 3 | 2019 |
| 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 | 3 | 2019 |
| Learning Individual Survival Models from PanCancer Whole Transcriptome Data N Kumar, D Skubleny, M Parkes, R Verma, S Davis, L Kumar, A Aissiou, ... Clinical Cancer Research, OF1-OF13, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
Pallavi TiwariAssociate Professor, Department of Radiology & Biomedical Engineering, UW-MadisonVerified email at wisc.edu
