Miguel L. Martins

According to our database, Miguel L. Martins authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings.

David S. Restrepo, Miguel L. Martins, Chenwei Wu, Luis Filipe Nakayama, Diego M. Lopez, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante

CoRR, March, 2026

2025

Multifractal Recalibration of Neural Networks for Medical Imaging Segmentation.

Miguel L. Martins, Miguel T. Coimbra, Francesco Renna

CoRR, December, 2025

Understanding Squeeze-and-Excitation Layers for Medical Image Segmentation.

Miguel L. Martins, Miguel T. Coimbra, Francesco Renna

Proceedings of the 33rd European Signal Processing Conference, 2025

2024

Singularity Strength Re-Calibration of Fully Convolutional Neural Networks for Biomedical Image Segmentation.

Miguel L. Martins, Miguel T. Coimbra, Francesco Renna

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Markov-Based Neural Networks for Heart Sound Segmentation: Using Domain Knowledge in a Principled Way.

Miguel L. Martins, Miguel T. Coimbra, Francesco Renna

IEEE J. Biomed. Health Informatics, November, 2023

Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images.

Miguel L. Martins, Maria Pedroso, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, Francesco Renna

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Fractal Bilinear Deep Neural Network Models for Gastric Intestinal Metaplasia Detection.

Maria Pedroso, Miguel L. Martins, Diogo Libânio, Mário Dinis-Ribeiro, Miguel T. Coimbra, Francesco Renna

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2021

Joint Training of Hidden Markov Model and Neural Network for Heart Sound Segmentation.

Francesco Renna, Miguel L. Martins, Miguel T. Coimbra

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021