Mauricio Reyes

Associate Professor

University of Bern

Switzerland

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Mauricio Reyes is an Associate Professor at Universität Bern, Switzerland. His research areas encompass artificial intelligence applications in medical imaging, particularly focusing on segmentation models for brain tumors and ischemic strokes, as well as multi-label classification and explainable AI. He has contributed significantly to the development of open-source tools and frameworks aimed at enhancing diagnostic processes in areas such as dermatology and oncology.

Mauricio Reyes

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Articles (15)

AUDIT: An open-source Python library for AI model evaluation with use cases in MRI brain tumor segmentation

DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge

ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification

Multi-Label Generalized Zero Shot Chest Xray Classification By Combining Image-Text Information With Feature Disentanglement

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists

Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study

Deep-Learning-Based Dose Predictor for Glioblastoma–Assessing the Sensitivity and Robustness for Dose Awareness in Contouring

PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion

Graph Node Based Interpretability Guided Sample Selection for Active Learning

Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps

The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

Dual-stream pyramid registration network

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

Collaborators (9)

Zongyuan Ge

Mohamed Shelan

Alexander Poellinger

Matthew Robert Scott

Alberto Fernandez Hilario

Beatriz Remeseiro

Rachel Sparks

José Amorim

Pedro Henriques Abreu

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