Anuj J. Kapadia

15 papers B 2Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection.
CoRR
Julia Ive, Paulina Bondaronek, Vishal Yadav, Daniel Santel, Tracy A. Glauser, Tina Cheng, Jeffrey R. Strawn, Greeshma A. Agasthya, Jordan Tschida, Sanghyun Choo, Mayanka Chandrashekar, Anuj J. Kapadia, John Pestian
2025 J jnl
Reinforcement Learning-Based Optimization of CT Acquisition and Reconstruction Parameters Through Virtual Imaging Trials.
CoRR
David Fenwick, Navid Naderializadeh, Vahid Tarokh, Nicholas Felice, Darin Clark, Jayasai Rajagopal, Anuj J. Kapadia, Benjamin Wildman-Tobriner, Ehsan Samei, Ehsan Abadi
2025 J jnl
Scale-up Unlearnable Examples Learning with High-Performance Computing.
CoRR
Yanfan Zhu, Isaac Lyngaas, Muralikrishnan Gopalakrishnan Meena, Mary Ellen Koran, Bradley A. Malin, Daniel Moyer, Shunxing Bao, Anuj J. Kapadia, Xiao Wang, Bennett A. Landman, Yuankai Huo
2024 B conf
Geographical Insights into Suicide Mortality Through Spatial Machine Learning.
IEEE Big Data
Viswadeep Lebakula, Swapna S. Gokhale, Anuj J. Kapadia, Jodie Trafton, Alina Peluso
2024 J jnl
Investigating the importance of social vulnerability in opioid-related mortality across the United States.
CoRR
Andrew Deas, Adam Spannaus, Dakotah D. Maguire, Jodie Trafton, Anuj J. Kapadia, Vasileios Maroulas
2023 — conf
Medication Knowledge Graph Analysis Using the PageRank Algorithm.
ICHI
S. M. Shamimul Hasan, Alina Peluso, Heidi A. Hanson, Anuj J. Kapadia
2023 — conf
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications.
High Performance Computing for Imaging
Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas, Matthew R. Norman, Bálint Joó, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang
2022 B conf
F*** workflows: when parts of FAIR are missing.
e-Science
Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick M. Widener, Matthew Wolf
2022 J jnl
F*** workflows: when parts of FAIR are missing.
CoRR
Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick M. Widener, Matthew Wolf
2021 — conf
Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse.
IEEE BigData
Jeremy Logan, Greeshma A. Agasthya, Heidi A. Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia
2019 J jnl
DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography.
IEEE Trans. Medical Imaging
Ehsan Abadi, Brian P. Harrawood, Shobhit Sharma, Anuj J. Kapadia, William Paul Segars, Ehsan Samei
2017 J jnl
Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-Ray Coherent Scatter Imaging.
IEEE Trans. Computational Imaging
Ikenna Odinaka, Joseph A. O'Sullivan, David G. Politte, Kenneth P. MacCabe, Yan Kaganovsky, Joel A. Greenberg, Manu N. Lakshmanan, Kalyani Krishnamurthy, Anuj J. Kapadia, Lawrence Carin, David J. Brady
2016 J jnl
Joint System and Algorithm Design for Computationally Efficient Fan Beam Coded Aperture X-ray Coherent Scatter Imaging.
CoRR
Ikenna Odinaka, Joseph A. O'Sullivan, David G. Politte, Kenneth P. MacCabe, Yan Kaganovsky, Joel A. Greenberg, Manu N. Lakshmanan, Kalyani Krishnamurthy, Anuj J. Kapadia, Lawrence Carin, David J. Brady
2014 J jnl
Simulations of Breast Cancer Imaging Using Gamma-Ray Stimulated Emission Computed Tomography.
IEEE Trans. Medical Imaging
Manu N. Lakshmanan, Brian P. Harrawood, Greeshma A. Agasthya, Anuj J. Kapadia
2012 J jnl
Quantitative Assessment of Lesion Detection Accuracy, Resolution, and Reconstruction Algorithms in Neutron Stimulated Emission Computed Tomography.
IEEE Trans. Medical Imaging
Manu N. Lakshmanan, Anuj J. Kapadia