4 citations · 9 across the 14 of their papers we have counts for
16 papers
Evaluation of Augmented Reality-based Intuitive Interface for Robot-Assisted Transesophageal Echocardiography: A User Study
Xiu Zhang*, Matteo Di Mauro*, Sofia Breschi +4
TransEsophageal Echocardiography (TEE) is essential for diagnosing and guiding Structural Heart Disease (SHD) interventions. However, manual TEE manipulation demands significant op…
Self-Supervised Contrastive Embedding Adaptation for Endoscopic Image Matching
Alberto Rota, Elena De Momi
Accurate spatial understanding is essential for image-guided surgery, augmented reality integration and context awareness. In minimally invasive procedures, where visual input is t…
UnReflectAnything: RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision
Alberto Rota, Mert Kiray, Mert Asim Karaoglu +4
Specular highlights distort appearance, obscure texture, and hinder geometric reasoning in both natural and surgical imagery. We present UnReflectAnything, an RGB-only framework th…
Physiological Measures of the Mental Workload in Users of a Lower Limb Exosuit: A Comparison of Subjective and Objective Metrics
Giulia Mariani, Chiara Lambranzi, Nicholas Cartocci +4
Lower-limb exosuits are particularly relevant for individuals with some degree of mobility impairment, such as post-stroke patients or older adults with reduced movement capabiliti…
Glioblastoma Overall Survival Prediction With Vision Transformers
Yin Lin, Riccardo Barbieri, Domenico Aquino +5
Glioblastoma is one of the most aggressive and common brain tumors, with a median survival of 10-15 months. Predicting Overall Survival (OS) is critical for personalizing treatment…
Implementation and Assessment of an Augmented Training Curriculum for Surgical Robotics
Alberto Rota, Ke Fan, Elena De Momi
The integration of high-level assistance algorithms in surgical robotics training curricula may be beneficial in establishing a more comprehensive and robust skillset for aspiring…
DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model
Mona Sheikh Zeinoddin, Chiara Lena, Jiongqi Qu +11
Robotic-assisted surgery (RAS) relies on accurate depth estimation for 3D reconstruction and visualization. While foundation models like Depth Anything Models (DAM) show promise, d…
A Personalizable Controller for the Walking Assistive omNi-Directional Exo-Robot (WANDER)
A. Fortuna, M. Lorenzini, M. Leonori +5
Preserving and encouraging mobility in the elderly and adults with chronic conditions is of paramount importance. However, existing walking aids are either inadequate to provide su…
Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings
Sophia Bano, Alessandro Casella, Francisco Vasconcelos +28
Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomos…
Learning Cooperative Dynamic Manipulation Skills from Human Demonstration Videos
Francesco Iodice, Yuqiang Wu, Wansoo Kim +3
This article proposes a method for learning and robotic replication of dynamic collaborative tasks from offline videos. The objective is to extend the concept of learning from demo…
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…
FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset
Sophia Bano, Alessandro Casella, Francisco Vasconcelos +9
Fetoscopy laser photocoagulation is a widely used procedure for the treatment of Twin-to-Twin Transfusion Syndrome (TTTS), that occur in mono-chorionic multiple pregnancies due to…
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…
A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture
Jorge F. Lazo, Aldo Marzullo, Sara Moccia +4
Ureteroscopy is becoming the first surgical treatment option for the majority of urinary affections. This procedure is performed using an endoscope which provides the surgeon with…
Comparison of different CNNs for breast tumor classification from ultrasound images
Jorge F. Lazo, Sara Moccia, Emanuele Frontoni +1
Breast cancer is one of the deadliest cancer worldwide. Timely detection could reduce mortality rates. In the clinical routine, classifying benign and malignant tumors from ultraso…
Weakly Supervised Recognition of Surgical Gestures
Beatrice van Amsterdam, Hirenkumar Nakawala, Elena De Momi +1
Kinematic trajectories recorded from surgical robots contain information about surgical gestures and potentially encode cues about surgeon's skill levels. Automatic segmentation of…