activity
20152025
most citedStandardised convolutional filtering for radiomics

30 citations · 36 across the 5 of their papers we have counts for

collaborators

6 papers

cs.LG2025

The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information

D. Abler, O. Pusterla, A. Joye-Kühnis +19

Background: Radiomics shows promise in characterizing glioblastoma, but its added value over clinical and molecular predictors has yet to be proven. This study assessed the added v…

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…

math.AG2022

Frobenius integrability of certain -forms on singular spaces

Junyan Cao, Andreas Höring

Demailly proved that on a smooth compact Kähler manifold the distribution defined by a holomorphic -form with values in an anti-pseudoeffective line bundle is always integrable.…

eess.IV2020★ 30 cited

Standardised convolutional filtering for radiomics

Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra +5

The Image Biomarker Standardisation Initiative (IBSI) aims to improve reproducibility of radiomics studies by standardising the computational process of extracting image biomarkers…

cs.IR2017★ 3 cited

The Parallel Distributed Image Search Engine (ParaDISE)

Dimitrios Markonis, Roger Schaer, Alba García Seco de Herrera +1

Image retrieval is a complex task that differs according to the context and the user requirements in any specific field, for example in a medical environment. Search by text is oft…

cs.DC2015★ 3 cited

Using MapReduce for Large-scale Medical Image Analysis

Dimitrios Markonis, Roger Schaer, Ivan Eggel +2

The growth of the amount of medical image data produced on a daily basis in modern hospitals forces the adaptation of traditional medical image analysis and indexing approaches tow…