Three-dimensional tumor perfusion reconstruction using fractal interpolation functions. - Oana I. Craciunescu; Shiva K. Das; Jean M. Poulson; Thaddeus V. Samulski (IEEE Trans. Biomed. Eng., 2001)

Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis. - Shiva K. Das; Shifeng Chen; Joseph O. Deasy; Sumin Zhou; Fang-Fang Yin; Lawrence B. Marks (ICMLA, 2008)

Exploring the impact of perceived usability and cognitive workload on objective performance using supervised machine learning classifiers. - Karthik Adapa; Shiva K. Das; Prithima Reddy; Fei Yu 013; Carlton Moore; Lukasz Mazur (AMIA, 2021)

Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. - Karthik Adapa; Malvika Pillai; Shiva K. Das; Prithima Mosaly; Lukasz Mazur (MedInfo, 2021)

Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. - Malvika Pillai; Karthik Adapa; John W. Shumway; John Dooley; Shiva K. Das; Bhishamjit S. Chera; Lukasz Mazur (MedInfo, 2021)

Human-Centered Participatory Co-design of a Dosimetry-Quality Assurance Checklist in an Academic Cancer Center. - Karthik Adapa; Gregg Tracton; Prithima Mosaly; Fei Yu 013; Ross McGurk; Carlton Moore; John Dooley; Shiva K. Das; Lukasz Mazur (HCI (19), 2022)

Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. - Karthik Adapa; Gregg Tracton; Prithima Mosaly; Fei Yu 013; Ross McGurk; Carlton Moore; John Dooley; Shiva K. Das; Lukasz Mazur (HCI (24), 2023)