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

Extraction of brain tissue from CT head images using fully convolutional neural networks. - Zeynettin Akkus; Petro M. Kostandy; Kenneth A. Philbrick; Bradley J. Erickson (Image Processing, 2018)

Reduction of unnecessary thyroid biopsies using deep learning. - Zeynettin Akkus; Arunnit Boonrod; Mahfuzur R. Siddiquee; Kenneth A. Philbrick; Marius N. Stan; Regina M. Castro; Dana Erickson; Matthew R. Callstrom; Bradley J. Erickson (Image Processing, 2019)

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)

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)

Robust brain extraction tool for CT head images. - Zeynettin Akkus; Petro M. Kostandy; Kenneth A. Philbrick; Bradley J. Erickson (Neurocomputing, 2020)

SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks. - Kuan Zhang; Haoji Hu; Kenneth Philbrick; Gian Marco Conte; Joseph D. Sobek; Pouria Rouzrokh; Bradley J. Erickson (CoRR, 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)

Health AI Developer Foundations. - Atilla P. Kiraly; Sebastien Baur; Kenneth Philbrick; Fereshteh Mahvar; Liron Yatziv; Tiffany Chen; Bram Sterling; Nick George; Fayaz Jamil; Jing Tang; Kai Bailey; Faruk Ahmed; et al. (CoRR, 2024)

MedGemma Technical Report. - Andrew Sellergren; Sahar Kazemzadeh; Tiam Jaroensri; Atilla P. Kiraly; Madeleine Traverse; Timo Kohlberger; Shawn Xu; Fayaz Jamil; Cían Hughes; Charles Lau; Justin Chen; Fereshteh Mahvar; et al. (CoRR, 2025)