Francis Jesmar P. Montalbo

According to our database, Francis Jesmar P. Montalbo authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2025

TUMbRAIN: A transformer with a unified mobile residual attention inverted network for diagnosing brain tumors from magnetic resonance scans.

Francis Jesmar P. Montalbo

Neurocomputing, 2025

2024

S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation.

Francis Jesmar P. Montalbo

Biomed. Signal Process. Control., 2024

2023

Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation.

Francis Jesmar P. Montalbo

Appl. Soft Comput., January, 2023

Performance Analysis of Lightweight Vision Transformers and Deep Convolutional Neural Networks in Detecting Brain Tumors in MRI Scans: An Empirical Approach.

Francis Jesmar P. Montalbo, Lovely Rose T. Hernandez, Lanie P. Palad, Ria C. Castillo, Alvin S. Alon, Anton Louise P. De Ocampo

Proceedings of the 2023 8th International Conference on Biomedical Imaging, 2023

2022

Automated diagnosis of diverse coffee leaf images through a stage-wise aggregated triple deep convolutional neural network.

Francis Jesmar P. Montalbo

Mach. Vis. Appl., 2022

Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans.

Francis Jesmar P. Montalbo

Multim. Tools Appl., 2022

Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block.

Francis Jesmar P. Montalbo

Biomed. Signal Process. Control., 2022

2021

Empirical Analysis of a Fine-Tuned Deep Convolutional Model in Classifying and Detecting Malaria Parasites from Blood Smears.

Francis Jesmar P. Montalbo, Alvin S. Alon

KSII Trans. Internet Inf. Syst., 2021

Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion.

Francis Jesmar P. Montalbo

Biomed. Signal Process. Control., 2021

2020

A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning.

Francis Jesmar P. Montalbo

KSII Trans. Internet Inf. Syst., 2020

2019

Classification of Fish Species with Augmented Data using Deep Convolutional Neural Network.

Francis Jesmar P. Montalbo, Alexander A. Hernandez

Proceedings of the 9th IEEE International Conference on System Engineering and Technology, 2019

Comparative Analysis of Ensemble Learning Methods in Classifying Network Intrusions.

Francis Jesmar P. Montalbo, Enrique D. Festijo

Proceedings of the 9th IEEE International Conference on System Engineering and Technology, 2019