research
∙
11/18/2022
Joint nnU-Net and Radiomics Approaches for Segmentation and Prognosis of Head and Neck Cancers with PET/CT images
Automatic segmentation of head and neck cancer (HNC) tumors and lymph no...
share
research
∙
09/30/2022
Evaluation of importance estimators in deep learning classifiers for Computed Tomography
Deep learning has shown superb performance in detecting objects and clas...
research
∙
01/11/2022
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images
This paper presents an overview of the second edition of the HEad and ne...
research
∙
02/20/2021
Squeeze-and-Excitation Normalization for Automated Delineation of Head and Neck Primary Tumors in Combined PET and CT Images
Development of robust and accurate fully automated methods for medical i...
research
∙
07/03/2019
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches
Aim: In the present work, we aimed to evaluate a comprehensive radiomics...
research
∙
06/15/2019
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients
The aim of this study was to develop radiomic models using PET/CT radiom...
research
∙
10/05/2016