Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention

6 November 2021

Papers citing "Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention"

6 / 6 papers shown

Title
Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models Rowan Bradbury K. Vallis Bartlomiej W. Papiez MedIm 24 1 0 26 Mar 2024
Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information Mona Furukawa Daniel R. McGowan Bartlomiej W. Papie.z 36 2 0 28 Feb 2024
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging Zdravko Marinov Simon Reiß D. Kersting Jens Kleesiek Rainer Stiefelhagen 31 12 0 13 Mar 2023
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images Yu Zheng Fuping Wu Bartlomiej W. Papie.z 29 3 0 12 Dec 2022
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images Vincent Andrearczyk Valentin Oreiller S. Boughdad C. Cheze-le-Rest H. Elhalawani ... John O. Prior M. Vallières D. Visvikis M. Hatt A. Depeursinge 35 83 0 11 Jan 2022
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 115 1,231 0 02 Jun 2016