Minh-Son To

No ORCID on file · 3 papers in corpus
article 2026
Unpaired multi-modal multi-label learning for detecting endometriosis signs
Artificial intelligence in medicine ·doi:10.1016/j.artmed.2026.103503

Endometriosis is a widespread gynecological disorder causing severe pain and infertility, with diagnosis currently relying on slow, costly, and risky laparoscopy. This highlights the critical need for non-invasive imaging diagnostics using …

article 2025
Unpaired multi-modal training and single-modal testing for detecting signs of endometriosis
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society ·doi:10.1016/j.compmedimag.2025.102575

Endometriosis is a serious multifocal condition that can involve various pelvic structures, with Pouch of Douglas (POD) obliteration being a significant clinical indicator for diagnosis. To circumvent the need for invasive diagnostic proced…

article 2023
The Effectiveness of Self-supervised Pre-training for Multi-modal Endometriosis Classification*†
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference ·doi:10.1109/embc40787.2023.10340504

Endometriosis is a debilitating condition affecting 5% to 10% of the women worldwide, where early detection and treatment are the best tools to manage the condition. Early detection can be done via surgery, but multi-modal medical imaging i…