Biomedical texture analysis : fundamentals, tools and challenges

Veröffentlicht 2017

Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging

von Graziani, Mara
Veröffentlicht in iMIMIC (3. : 2020 : Online) Interpretable and annotation-efficient learning for medical image computing (2020)

Head and neck tumor segmentation : first challenge, HECKTOR 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : proceedings

Veröffentlicht 2021

Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT

von Fontaine, Pierre
Veröffentlicht in ML-CDS (11. : 2021 : Online) Multimodal Learning for Clinical Decision Support (2021)

Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer

von Andrearczyk, Vincent
Veröffentlicht in PRIME (4. : 2021 : Straßburg) Predictive Intelligence in Medicine (2021)

Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction

von Abler, Daniel
Veröffentlicht in International Brain Lesion Workshop (7. : 2021 : Online) Brainlesion ; Part 2 (2022)

Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT

von Andrearczyk, Vincent
Veröffentlicht in HECKTOR (1. : 2020 : Online) Head and neck tumor segmentation (2021)

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images

von Andrearczyk, Vincent
Veröffentlicht in HECKTOR (2. : 2021 : Online) Head and neck tumor segmentation and outcome prediction (2022)

Head and neck tumor segmentation and outcome prediction : Third Challenge, HECKTOR 2022 : held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings

Veröffentlicht 2023