Jeremiah Fadugba

According to our database, Jeremiah Fadugba authored at least 6 papers between 2024 and 2025.

Collaborative distances:

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

2025

Uncertainty-Aware Retinal Vessel Segmentation via Ensemble Distillation.

Jeremiah Fadugba, Petru Manescu, Bolanle Oladejo, Delmiro Fernandez-Reyes, Philipp Berens

CoRR, September, 2025

Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings.

Jeremiah Fadugba, Isabel Lieberman, Olabode Ajayi, Mansour Osman, Solomon Oluwole Akinola, Tinashe E. M. Mutsvangwa, Dong Zhang, Udunna C. Anazodo, Raymond Confidence

CoRR, February, 2025

MAPS-Glioma: Modality-Specific Augmentation and Tissue-Adaptive Postprocessing for Robust Glioma Segmentation in Resource-Limited Settings.

Ayomide B. Oladele, Helena Machibya, Mariam Kaoneka, Frederick Lyimo, Debora Hoza, Immaculata Kafumu, Idris Olalekan, Jeremiah Fadugba, Dong Zhang, Aondona M. Iorumbur, Raymond Confidence, Nicephorus Rutabasibwa, Ugumba M. Kwikima

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Deep Ensemble Approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings.

Jeremiah Fadugba, Isabel Lieberman, Olabode Ajayi, Mansour Osman, Solomon Oluwole Akinola, Tinashe E. M. Mutsvangwa, Farouk Dako, Dong Zhang, Udunna C. Anazodo, Raymond Confidence

Proceedings of the Medical Image Computing in Resource Constrained Settings, 2025

2024

Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization.

Jeremiah Fadugba, Patrick Köhler, Lisa M. Koch, Petru Manescu, Philipp Berens

CoRR, 2024

Efficiently correcting patch-based segmentation errors to control image-level performance in retinal images.

Patrick Köhler, Jeremiah Fadugba, Philipp Berens, Lisa M. Koch

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024