28 citations · 61 across the 10 of their papers we have counts for
12 papers
SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools
Luca Sestini, Benoit Rosa, Elena De Momi +2
Instance segmentation of surgical instruments is a long-standing research problem, crucial for the development of many applications for computer-assisted surgery. This problem is c…
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images
Jorge F. Lazo, Benoit Rosa, Michele Catellani +6
Objective: Accurate visual classification of bladder tissue during Trans-Urethral Resection of Bladder Tumor (TURBT) procedures is essential to improve early cancer diagnosis and t…
Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing
Jorge F. Lazo, Chun-Feng Lai, Sara Moccia +7
Navigation inside luminal organs is an arduous task that requires non-intuitive coordination between the movement of the operator's hand and the information obtained from the endos…
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation
Luca Sestini, Benoit Rosa, Elena De Momi +2
Automatic surgical instrument segmentation of endoscopic images is a crucial building block of many computer-assistance applications for minimally invasive surgery. So far, state-o…
Data Stream Stabilization for Optical Coherence Tomography Volumetric Scanning
Guiqiu Liao, Oscar Caravaca-Mora, Benoit Rosa +7
Optical Coherence Tomography (OCT) is an emerging medical imaging modality for luminal organ diagnosis. The non-constant rotation speed of optical components in the OCT catheter ti…
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
Jorge F. Lazo, Sara Moccia, Aldo Marzullo +5
Ureteroscopy and cystoscopy are the gold standard methods to identify and treat tumors along the urinary tract. It has been reported that during a normal procedure a rate of 10-20…