Toolkits and Libraries for Deep Learning. - Bradley J. Erickson; Panagiotis Korfiatis; Zeynettin Akkus; Timothy Kline; Kenneth Philbrick (J. Digit. Imaging, 2017)

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys. - Timothy L. Kline; Panagiotis Korfiatis; Marie E. Edwards; Jaime D. Blais; Frank S. Czerwiec; Peter C. Harris; Bernard F. King; Vicente E. Torres; Bradley J. Erickson (J. Digit. Imaging, 2017)

Residual Deep Convolutional Neural Network Predicts MGMT Methylation Status. - Panagiotis Korfiatis; Timothy L. Kline; Daniel H. Lachance; Ian F. Parney; Jan C. Buckner; Bradley J. Erickson (J. Digit. Imaging, 2017)

Evaluation of a deep learning architecture for MR imaging prediction of ATRX in glioma patients. - Panagiotis Korfiatis; Timothy L. Kline; Bradley J. Erickson (Computer-Aided Diagnosis, 2018)

Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI. - Youngoh Bae; Kunaraj Kumarasamy; Issa Ali; Panagiotis Korfiatis; Zeynettin Akkus; Bradley J. Erickson (J. Digit. Imaging, 2018)

Interactive segmentation of medical images through fully convolutional neural networks. - Tomas Sakinis; Fausto Milletari; Holger Roth; Panagiotis Korfiatis; Petro M. Kostandy; Kenneth Philbrick; Zeynettin Akkus; Ziyue Xu 001; Daguang Xu; Bradley J. Erickson (CoRR, 2019)

High Resolution Medical Image Analysis with Spatial Partitioning. - Le Hou; Youlong Cheng; Noam Shazeer; Niki Parmar; Yeqing Li; Panagiotis Korfiatis; Travis M. Drucker; Daniel J. Blezek; Xiaodan Song (CoRR, 2019)

RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning. - Kenneth A. Philbrick; Alexander D. Weston; Zeynettin Akkus; Timothy L. Kline; Panagiotis Korfiatis; Tomas Sakinis; Petro M. Kostandy; Arunnit Boonrod; Atefeh Zeinoddini; Naoki Takahashi; Bradley J. Erickson (J. Digit. Imaging, 2019)

AI Integration in the Clinical Workflow. - Daniel J. Blezek; Lonny Olson-Williams; Andrew Missert; Panagiotis Korfiatis (J. Digit. Imaging, 2021)

Deep Learning Improves the Temporal Reproducibility of Aortic Measurement. - Alex Bratt; Daniel J. Blezek; William J. Ryan; Kenneth A. Philbrick; Prabhakar Rajiah; Yasmeen K. Tandon; Lara A. Walkoff; Jason C. Cai; Emily N. Sheedy; Panagiotis Korfiatis; Eric E. Williamson; Bradley J. Erickson; et al. (J. Digit. Imaging, 2021)

Reproducibility in medical image radiomic studies: contribution of dynamic histogram binning. - Darryl E. Wright; Cole J. Cook; Jason Klug; Panagiotis Korfiatis; Timothy L. Kline (CoRR, 2022)

A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging. - Weiguo Cao; Benjamin Howe; Nicholas Rhodes; Sumana Ramanathan; Panagiotis Korfiatis; Kimberly Amrami; Robert Spinner; Timothy Kline (MICCAI (8), 2023)

AI in the Loop - Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines. - Harrison C. Gottlich; Panagiotis Korfiatis; Adriana V. Gregory; Timothy L. Kline (CoRR, 2023)

Role of Image Acquisition and Patient Phenotype Variations in Automatic Segmentation Model Generalization. - Timothy L. Kline; Sumana Ramanathan; Harrison C. Gottlich; Panagiotis Korfiatis; Adriana V. Gregory (CoRR, 2023)

Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study. - Harrison C. Gottlich; Adriana V. Gregory; Vidit Sharma; Abhinav Khanna; Amr U. Moustafa; Christine M. Lohse; Theodora A. Potretzke; Panagiotis Korfiatis; Aaron M. Potretzke; Aleksandar Denic; Andrew D. Rule; Naoki Takahashi; et al. (J. Digit. Imaging, 2023)

A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images. - Peilong Wang; Timothy L. Kline; Andy D. Missert; Cole J. Cook; Matthew R. Callstrom; Alex Chan; Robert P. Hartman; Zachary S. Kelm; Panagiotis Korfiatis (J. Imaging Inform. Medicine, 2024)

Socio-Demographic Modifiers Shape Large Language Models' Ethical Decisions. - Vera Sorin; Panagiotis Korfiatis; Jeremy D. Collins; Donald Apakama; Mahmud Omar; Benjamin S. Glicksberg; Mei-Ean Yeow; Megan Brandeland; Girish N. Nadkarni; Eyal Klang (J. Heal. Informatics Res., 2025)