François Bénard

According to our database, François Bénard authored at least 6 papers between 2016 and 2023.

Collaborative distances:

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

2023

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.

Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan Lavista Ferres

Comput. Biol. Medicine, May, 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

State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.

Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2018

Segmentation-free direct tumor volume and metabolic activity estimation from PET scans.

Saeid Asgari Taghanaki, Nóirín Duggan, Hillgan Ma, Xinchi Hou, Anna Celler, François Bénard, Ghassan Hamarneh

Comput. Medical Imaging Graph., 2018

2017

Spatial resolution properties of digital autoradiography systems for pre-clinical alpha particle imaging (Conference Presentation).

Jesse Tanguay, François Bénard, Anna Celler, Thomas Ruth, Paul Schaffer

Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

2016

Tumor Lesion Segmentation from 3D PET Using a Machine Learning Driven Active Surface.

Payam Ahmadvand, Nóirín Duggan, François Bénard, Ghassan Hamarneh

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016