Deep Learning Generates Synthetic Cancer Histology for Explainability and Education. - James M. Dolezal; Rachelle Wolk; Hanna M. Hieromnimon; Frederick M. Howard; Andrew Srisuwananukorn; Dmitry Karpeyev; Siddhi Ramesh; Sara Kochanny; Jung Woo Kwon; Meghana Agni; Richard C. Simon; Chandni Desai; et al. (CoRR, 2022)

Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics. - Chengyue Wu; David A. Hormuth; Guillermo Lorenzo; Angela M. Jarrett; Federico Pineda; Frederick M. Howard; Gregory S. Karczmar; Thomas E. Yankeelov (IEEE Trans. Biomed. Eng., 2022)

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization. - James M. Dolezal; Sara Kochanny; Emma C. Dyer; Andrew Srisuwananukorn; Matteo Sacco; Frederick M. Howard; Anran Li 007; Prajval Mohan; Alexander T. Pearson (CoRR, 2023)

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers. - Catherine A. Gao; Frederick M. Howard; Nikolay S. Markov; Emma C. Dyer; Siddhi Ramesh; Yuan Luo 001; Alexander T. Pearson (npj Digit. Medicine, 2023)

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. - James M. Dolezal; Sara Kochanny; Emma C. Dyer; Siddhi Ramesh; Andrew Srisuwananukorn; Matteo Sacco; Frederick M. Howard; Anran Li 007; Prajval Mohan; Alexander T. Pearson (BMC Bioinform., 2024)