Richard Laforest

According to our database, Richard Laforest authored at least 7 papers between 2009 and 2023.

Collaborative distances:

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

2023

DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT.

Md. Ashequr Rahman, Zitong Yu, Richard Laforest, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha

CoRR, 2023

Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT.

Zitong Yu, Md. Ashequr Rahman, Richard Laforest, Thomas H. Schindler, Robert J. Gropler, Richard L. Wahl, Barry A. Siegel, Abhinav K. Jha

CoRR, 2023

2022

Synthetic PET via Domain Translation of 3D MRI.

Abhejit Rajagopal, Yutaka Natsuaki, Kristen A. Wangerin, Mahdjoub Hamdi, Hongyu An, John J. Sunderland, Richard Laforest, Paul E. Kinahan, Peder E. Z. Larson, Thomas A. Hope

CoRR, 2022

2021

Observer study-based evaluation of a stochastic and physics-based method to generate oncological PET images.

Ziping Liu, Richard Laforest, Joyce C. Mhlanga, Tyler J. Fraum, Malak Itani, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha

Proceedings of the Medical Imaging 2021: Image Perception, 2021

2020

An estimation-based method to segment PET images.

Ziping Liu, Richard Laforest, Joyce C. Mhlanga, Hae Sol Moon, Tyler J. Fraum, Malak Itani, Aaron M. Mintz, Farrokh Dehdashti, Barry A. Siegel, Abhinav K. Jha

CoRR, 2020

A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT.

Md. Ashequr Rahman, Richard Laforest, Abhinav K. Jha

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2009

Exploring feature-based approaches in PET images for predicting cancer treatment outcomes.

Issam El-Naqa, Perry Grigsby, Aditya P. Apte, E. Kidd, E. Donnelly, D. Khullar, S. Chaudhari, Deshan Yang, M. Schmitt, Richard Laforest, W. L. Thorstad, Joseph Deasy

Pattern Recognit., 2009