Author of the publication

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.

, , , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging., , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images., , , , , , , , , and 4 other author(s). CoRR, (2023)A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma., , , , , , , , and . Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset., , , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma., , , , , , , , and . CoRR, (2024)A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset., , , , , , , and . CoRR, (2024)Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Observer study-based evaluation of TGAN architecture used to generate oncological PET images., , , , , , , , , and 2 other author(s). Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12467 of SPIE Proceedings, SPIE, (2023)