Kerol Djoumessi

According to our database, Kerol Djoumessi authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Accuracy: Evaluating Efficiency, Robustness and Explainability in Deep Learning for Malaria Diagnosis.

Olivier Kanamugire, Kerol Djoumessi

CoRR, May, 2026

TTE-CAM: Built-in Class Activation Maps for Test-Time Explainability in Pretrained Black-Box CNNs.

Kerol Djoumessi, Philipp Berens

CoRR, March, 2026

Towards Interpretable Foundation Models for Retinal Fundus Images.

Samuel Ofosu Mensah, Maria Camila Roa Carvajal, Kerol Djoumessi, Philipp Berens

CoRR, March, 2026

2025

Soft-CAM: Making black box models self-explainable for high-stakes decisions.

Kerol Djoumessi, Philipp Berens

CoRR, May, 2025

A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Medical Image Classification.

Kerol Djoumessi, Samuel Ofosu Mensah, Philipp Berens

CoRR, April, 2025

Prototype-Guided and Lightweight Adapters for Inherent Interpretation and Generalisation in Federated Learning.

Samuel Ofosu Mensah, Kerol Djoumessi, Philipp Berens

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

A Hybrid Fully Convolutional CNN-Transformer Model for Inherently Interpretable Disease Detection from Retinal Fundus Images.

Kerol Djoumessi, Samuel Ofosu Mensah, Philipp Berens

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2025

2024

Interpretable-by-Design Deep Survival Analysis for Disease Progression Modeling.

Julius Gervelmeyer, Sarah Müller, Kerol Djoumessi, David Merle, Simon J. Clark, Lisa M. Koch, Philipp Berens

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

This Actually Looks Like that: Proto-BagNets for Local and Global Interpretability-by-Design.

Kerol Djoumessi, Bubacarr Bah, Laura Kühlewein, Philipp Berens, Lisa M. Koch

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024