405 citations · 993 across the 35 of their papers we have counts for
8 papers · 1 filter
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy
Rafael Martinez-Garcia-Peña, Mansoor Ali Teevno, Gilberto Ochoa-Ruiz +1
Domain shift is a well-known problem in the medical imaging community. In particular, for endoscopic image analysis where the data can have different modalities the performance of…
A comprehensive survey on recent deep learning-based methods applied to surgical data
Mansoor Ali, Rafael Martinez Garcia Pena, Gilberto Ochoa Ruiz +1
Minimally invasive surgery is highly operator dependant with a lengthy procedural time causing fatigue to surgeon and risks to patients such as injury to organs, infection, bleedin…
A semi-supervised Teacher-Student framework for surgical tool detection and localization
Mansoor Ali, Gilberto Ochoa-Ruiz, Sharib Ali
Surgical tool detection in minimally invasive surgery is an essential part of computer-assisted interventions. Current approaches are mostly based on supervised methods which requi…
Knowledge distillation with a class-aware loss for endoscopic disease detection
Pedro E. Chavarrias-Solanon, Mansoor Ali-Teevno, Gilberto Ochoa-Ruiz +1
Prevalence of gastrointestinal (GI) cancer is growing alarmingly every year leading to a substantial increase in the mortality rate. Endoscopic detection is providing crucial diagn…
Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring
Ziang Xu, Sharib Ali, Soumya Gupta +3
Inflammatory bowel disease (IBD), in particular ulcerative colitis (UC), is graded by endoscopists and this assessment is the basis for risk stratification and therapy monitoring.…