Francis Jesmar P. Montalbo

14 papers Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MHADFormer: A cost-efficient multiscale hybrid transformer mixer model for automating Alzheimer's disease diagnosis from MRI scans. Appl. Soft Comput. Francis Jesmar P. Montalbo
2025	J	`jnl`	DySARNet: a lightweight self-attention deep learning model for diagnosing dysarthria from speech recordings. Multim. Tools Appl. Francis Jesmar P. Montalbo
2025	J	`jnl`	TUMbRAIN: A transformer with a unified mobile residual attention inverted network for diagnosing brain tumors from magnetic resonance scans. Neurocomputing Francis Jesmar P. Montalbo
2024	J	`jnl`	S3AR U-Net: A separable squeezed similarity attention-gated residual U-Net for glottis segmentation. Biomed. Signal Process. Control. Francis Jesmar P. Montalbo
2023	J	`jnl`	Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation. Appl. Soft Comput. Francis Jesmar P. Montalbo
2023	—	`conf`	Performance Analysis of Lightweight Vision Transformers and Deep Convolutional Neural Networks in Detecting Brain Tumors in MRI Scans: An Empirical Approach. ICBSP Francis Jesmar P. Montalbo, Lovely Rose T. Hernandez, Lanie P. Palad, Ria C. Castillo, Alvin S. Alon, Anton Louise P. De Ocampo
2022	J	`jnl`	Automated diagnosis of diverse coffee leaf images through a stage-wise aggregated triple deep convolutional neural network. Mach. Vis. Appl. Francis Jesmar P. Montalbo
2022	J	`jnl`	Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block. Biomed. Signal Process. Control. Francis Jesmar P. Montalbo
2022	J	`jnl`	Truncating fined-tuned vision-based models to lightweight deployable diagnostic tools for SARS-CoV-2 infected chest X-rays and CT-scans. Multim. Tools Appl. Francis Jesmar P. Montalbo
2021	J	`jnl`	Diagnosing Covid-19 chest x-rays with a lightweight truncated DenseNet with partial layer freezing and feature fusion. Biomed. Signal Process. Control. Francis Jesmar P. Montalbo
2021	J	`jnl`	Empirical Analysis of a Fine-Tuned Deep Convolutional Model in Classifying and Detecting Malaria Parasites from Blood Smears. KSII Trans. Internet Inf. Syst. Francis Jesmar P. Montalbo, Alvin S. Alon
2020	J	`jnl`	A Computer-Aided Diagnosis of Brain Tumors Using a Fine-Tuned YOLO-based Model with Transfer Learning. KSII Trans. Internet Inf. Syst. Francis Jesmar P. Montalbo
2019	—	`conf`	Classification of Fish Species with Augmented Data using Deep Convolutional Neural Network. ICSET Francis Jesmar P. Montalbo, Alexander A. Hernandez
2019	—	`conf`	Comparative Analysis of Ensemble Learning Methods in Classifying Network Intrusions. ICSET Francis Jesmar P. Montalbo, Enrique D. Festijo