Frederick M. Howard

According to our database, Frederick M. Howard authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Prajval Mohan, Alexander T. Pearson

BMC Bioinform., December, 2024

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, 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, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson

CoRR, 2023

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

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, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li, Robert Grossman, Nicole A. Cipriani, Alexander T. Pearson

CoRR, 2022