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Ruchika Verma
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2020 – today
- 2024
- [j7]Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, Rikard Saqe, Kevin Shen, Breanna Duffy:
Artificial intelligence and machine learning applications for cultured meat. Frontiers Artif. Intell. 7 (2024) - [i4]Gabriele Campanella, Shengjia Chen
, Ruchika Verma, Jennifer Zeng, Aryeh Stock, Matt Croken, Brandon Veremis, Abdulkadir Elmas, Kuan-Lin Huang, Ricky Kwan, Jane Houldsworth, Adam Schoenfeld, Chad M. Vanderbilt:
A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models. CoRR abs/2407.06508 (2024) - [i3]Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, Rikard Saqe, Kevin Shen, Breanna Duffy:
Artificial intelligence and machine learning applications for cultured meat. CoRR abs/2407.09982 (2024) - 2023
- [j6]Shiang Qi
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction. IEEE Trans. Biomed. Eng. 70(12): 3389-3400 (2023) - 2022
- [j5]Ruchika Verma
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge". IEEE Trans. Medical Imaging 41(4): 1000-1003 (2022) - [c10]Alvaro Sandino Garzon, Ruchika Verma, Yijang Chen, David Becerra Tovar, Eduardo Romero Castro, Pallavi Tiwari:
A hierarchical deep learning approach for segmentation of glioblastoma tumor niches on digital histopathology. Digital and Computational Pathology 2022 - 2021
- [j4]Ruchika Verma
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - 2020
- [j3]Neeraj Kumar
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c9]Yashas Hiremath, Marwa Ismail, Ruchika Verma
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls. Computer-Aided Diagnosis 2020 - [c8]Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. MICCAI (2) 2020: 305-314 - [i2]Amir Reza Sadri, Andrew Janowczyk, Ren Zou, Ruchika Verma, Jacob Antunes, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath:
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data. CoRR abs/2004.04871 (2020) - [i1]Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari:
Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI. CoRR abs/2006.09878 (2020)
2010 – 2019
- 2019
- [c7]Ruchika Verma
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma. Computer-Aided Diagnosis 2019: 109500B - [c6]Niha G. Beig, Prateek Prasanna
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways. Computer-Aided Diagnosis 2019: 109501B - [c5]Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ashley Margol, Ruchika Verma
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. Computer-Aided Diagnosis 2019: 109501E - 2017
- [j2]Neeraj Kumar, Ruchika Verma
Convolutional neural networks for wavelet domain super resolution. Pattern Recognit. Lett. 90: 65-71 (2017) - [j1]Neeraj Kumar
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology. IEEE Trans. Medical Imaging 36(7): 1550-1560 (2017) - [c4]Neeraj Kumar, Ruchika Verma
Convolutional neural networks for prostate cancer recurrence prediction. Digital Pathology 2017: 101400H - 2016
- [c3]Ruchika Verma
Detecting multiple sub-types of breast cancer in a single patient. ICIP 2016: 2648-2652
2000 – 2009
- 2008
- [c2]Ruchika Verma
A coarse grained and hybrid reconfigurable architecture with flexible NoC router for variable block size motion estimation. IPDPS 2008: 1-8 - 2007
- [c1]Ruchika Verma
A Coarse Grained Reconfigurable Architecture for Variable Block Size Motion Estimation. FPT 2007: 81-88
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