William B. Weeks

According to our database, William B. Weeks authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

Towards reliable use of artificial intelligence to classify otitis media using otoscopic images: Addressing bias and improving data quality.

Yixi Xu, Al-Rahim Habib, Graeme Crossland, Hemi Patel, Chris Perry, Kris Bock, Tony Lian, William B. Weeks, Rahul Dodhia, Juan Lavista Ferres, Narinder Pal Singh

CoRR, July, 2025

Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer.

Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu

CoRR, January, 2025

2024

Artificial intelligence: promise and peril in achieving the quadruple aim in healthcare.

William B. Weeks, Juan M. Lavista Ferres, James N. Weinstein

Frontiers Artif. Intell., 2024

Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0.

Mohammad R. Salmanpour, Sajad Amiri, Sara Gharibi, Ahmad Shariftabrizi, Yixi Xu, William B. Weeks, Arman Rahmim, Ilker Hacihaliloglu

CoRR, 2024

Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer.

Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

2023

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.

Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo Hyun O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, William B. Weeks, Carlos F. Uribe, Arman Rahmim

CoRR, 2023

2020

Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut.

Sumit Mukherjee, Nicholas Becker, William B. Weeks, Juan Lavista Ferres

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020