activity
20162026
most citedImage biomarker standardisation initiative

4.2k citations · 4.3k across the 20 of their papers we have counts for

collaborators

22 papers

cs.CV2026

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT

Numan Saeed, Salma Hassan, Shahad Hardan +27

Head and neck cancers (HNC) represent a significant global health burden, with accurate tumor delineation being essential for effective radiotherapy planning. The complexity of the…

cs.CV2025

A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction

Numan Saeed, Salma Hassan, Shahad Hardan +40

We present a publicly available multimodal dataset for head and neck cancer research, comprising 1123 annotated Positron Emission Tomography/Computed Tomography (PET/CT) studies fr…

cs.CV2025

AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery

Lorenz Achim Kuhn, Daniel Abler, Jonas Richiardi +5

Brain Metastases (BM) are a large contributor to mortality of patients with cancer. They are treated with Stereotactic Radiosurgery (SRS) and monitored with Magnetic Resonance Imag…

cs.CV2025

A Multi-Centric Anthropomorphic 3D CT Phantom-Based Benchmark Dataset for Harmonization

Mohammadreza Amirian, Michael Bach, Oscar Jimenez-del-Toro +18

Artificial intelligence (AI) has introduced numerous opportunities for human assistance and task automation in medicine. However, it suffers from poor generalization in the presenc…

eess.IV2024

Exploiting XAI maps to improve MS lesion segmentation and detection in MRI

Federico Spagnolo, Nataliia Molchanova, Mario Ocampo Pineda +5

To date, several methods have been developed to explain deep learning algorithms for classification tasks. Recently, an adaptation of two of such methods has been proposed to gener…

eess.IV2024★ 3 cited

Instance-level quantitative saliency in multiple sclerosis lesion segmentation

Federico Spagnolo, Nataliia Molchanova, Meritxell Bach Cuadra +5

Explainable artificial intelligence (XAI) methods have been proposed to interpret model decisions in classification and, more recently, in semantic segmentation. However, instance-…