Ruchika Verma

24 papers A 1B 1Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Domain-Specific Foundation Model Improves AI-Based Analysis of Neuropathology.
CoRR
Ruchika Verma, Shrishtee Kandoi, Robina Afzal, Shengjia Chen, Jannes Jegminat, Michael W. Karlovich, Melissa Umphlett, Timothy E. Richardson, Kevin Clare, Quazi Hossain, Jorge Samanamud, Phyllis L. Faust, Elan D. Louis, Ann C. McKee, Thor D. Stein, Jonathan D. Cherry, Jesse B. Mez, Anya C. McGoldrick, Dalilah D. Quintana Mora, Melissa J. Nirenberg, Ruth H. Walker, Yolfrankcis Mendez, Susan Morgello, Dennis W. Dickson, Melissa E. Murray, Carlos Cordon-Cardo, Nadejda M. Tsankova, Jamie M. Walker, Diana K. Dangoor, Stephanie McQuillan, Emma L. Thorn, Claudia De Sanctis, Shuying Li, Thomas J. Fuchs, Kurt Farrell, John F. Crary, Gabriele Campanella
2025 J jnl
Predict Patient Self-reported Race from Skin Histological Images.
CoRR
Shengjia Chen, Ruchika Verma, Kevin Clare, Jannes Jegminat, Eugenia Alleva, Kuan-Lin Huang, Brandon Veremis, Thomas J. Fuchs, Gabriele Campanella
2025 — conf
Predicting Patient Self-reported Race From Skin Histological Images with Deep Learning.
FAIMI@MICCAI
Shengjia Chen, Ruchika Verma, Kevin Clare, Jannes Jegminat, Eugenia Alleva, Kuan-Lin Huang, Brandon Veremis, Thomas J. Fuchs, Gabriele Campanella
2024 J jnl
A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models.
CoRR
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
2024 J jnl
Artificial intelligence and machine learning applications for cultured meat.
CoRR
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, Rikard Saqe, Kevin Shen, Breanna Duffy
2024 J jnl
Artificial intelligence and machine learning applications for cultured meat.
Frontiers Artif. Intell.
Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, Rikard Saqe, Kevin Shen, Breanna Duffy
2023 J jnl
Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction.
IEEE Trans. Biomed. Eng.
Shiang Qi, Neeraj Kumar, Ruchika Verma, Jian-Yi Xu, Grace Shen-Tu, Russell Greiner
2022 — conf
A hierarchical deep learning approach for segmentation of glioblastoma tumor niches on digital histopathology.
Digital and Computational Pathology
Alvaro Sandino Garzon, Ruchika Verma, Yijang Chen, David Becerra Tovar, Eduardo Romero Castro, Pallavi Tiwari
2022 J jnl
Author's Reply to "MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge".
IEEE Trans. Medical Imaging
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Amit Sethi
2021 J jnl
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.
IEEE Trans. Medical Imaging
Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi
2020 J jnl
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging
Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi
2020 — conf
Combining deep and hand-crafted MRI features for identifying sex-specific differences in autism spectrum disorder versus controls.
Computer-Aided Diagnosis
Yashas Hiremath, Marwa Ismail, Ruchika Verma, Jacob Antunes, Pallavi Tiwari
2020 J jnl
MRQy: An Open-Source Tool for Quality Control of MR Imaging Data.
CoRR
Amir Reza Sadri, Andrew Janowczyk, Ren Zou, Ruchika Verma, Jacob Antunes, Anant Madabhushi, Pallavi Tiwari, Satish E. Viswanath
2020 — conf
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI.
MICCAI (2)
Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari
2020 J jnl
Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI.
CoRR
Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari
2019 — conf
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI.
Computer-Aided Diagnosis
Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ashley Margol, Ruchika Verma, Ramon Correa, Prateek Prasanna, Niha G. Beig, Kaustav Bera, Volodymyr Statsevych, Alexander R. Judkins, Anant Madabhushi, Pallavi Tiwari
2019 — conf
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways.
Computer-Aided Diagnosis
Niha G. Beig, Prateek Prasanna, Virginia B. Hill, Ruchika Verma, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari
2019 — conf
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma.
Computer-Aided Diagnosis
Ruchika Verma, Ramon Correa, Virginia B. Hill, Niha G. Beig, Abdelkader Mahammedi, Anant Madabhushi, Pallavi Tiwari
2017 J jnl
A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.
IEEE Trans. Medical Imaging
Neeraj Kumar, Ruchika Verma, Sanuj Sharma, Surabhi Bhargava, Abhishek Vahadane, Amit Sethi
2017 — conf
Convolutional neural networks for prostate cancer recurrence prediction.
Digital Pathology
Neeraj Kumar, Ruchika Verma, Ashish Arora, Abhay Kumar, Sanchit Gupta, Amit Sethi, Peter H. Gann
2017 J jnl
Convolutional neural networks for wavelet domain super resolution.
Pattern Recognit. Lett.
Neeraj Kumar, Ruchika Verma, Amit Sethi
2016 B conf
Detecting multiple sub-types of breast cancer in a single patient.
ICIP
Ruchika Verma, Neeraj Kumar, Amit Sethi, Peter H. Gann
2008 A conf
A coarse grained and hybrid reconfigurable architecture with flexible NoC router for variable block size motion estimation.
IPDPS
Ruchika Verma, Ali Akoglu
2007 — conf
A Coarse Grained Reconfigurable Architecture for Variable Block Size Motion Estimation.
FPT
Ruchika Verma, Ali Akoglu