CRAS'19 proceedings

The recently released proceedings of the last CRAS reveal some great research projects:

• VRViz: Native VR Visualization of ROS Topics; John O'Neill, Sebastien Ourselin, Tom Vercauteren, Lyndon da Cruz and Christos Bergeles
• Calibration of Optical See-Through Head Mounted Display for Augmented Reality Surgery; Nadia Cattari, Umberto Fontana, Fabrizio Cutolo, Sara Condino, Mauro Ferrari and Vincenzo Ferrari
• Identification of Box-Jenkins Model for a Magnetically Actuated Fiber-Coupled Laser for Computer-Assisted Laser Microsurgery; Hamed Mohammadbagherpoor and Edward Grant
• SVEI: Smart Venous Entry Indicator; Zhuoqi Cheng, Brian Davies, Luca Guastini, Darwin Caldwell and Leonardo Mattos
• Convolutional network for multi-planar pose prediction in medical imaging; Bogdan Maris, Eros Ghignoni and Paolo Fiorini
• Design and fabrication of synthetic, silicone-based tissue and organ models for surgical simulations; Ozge Akbulut, Burcin Ustbas Gul, Deniz Kilic, Cem Yilmaz and Mehmet Bayramicli
• Development of Different Grasp Type Handles for a Haptic Telemanipulator; Esther Isabel Zoller, Patrick Salz, Philippe Claude Cattin, Azhar Zam and Georg Rauter
• Accuracy of 3D Modelling Techniques for the Human Knee; Sara Maria Forte, Fabio Tatti and Ferdinando Rodriguez Y Baena
• Combining machine learning and kinematic analysis to control medical cable-driven flexible instruments; Rafael Aleluia Porto, Florent Nageotte, Philippe Zanne and Michel De Mathelin 
• Depth Prediction and Implicit Domain Adaption for Endoscopy using Conditional Generative Adversarial Networks; Anita Rau, Eddie Edwards, Omer Ahmad, Laurence Lovat and Danail Stoyanov
• Novel capacitive-based sensor technology for augmented proximity detection; Marcello Chiurazzi, Guido Garozzo, Paolo Dario and Gastone Ciut
• Drowsiness detection among surgeons: development of a wearable EEG device; Tommaso Banfi, Arianna Cignoni and Gastone Ciuti 
• A Comparison of Expert and Novice Performance in Obstetric Ultrasound Using Probe Tracking Systems: Data to Improve Training; Brian Dromey, Shahanaz Ahmed, Francisco Vasconcelos, Evangelos Mazomenos, Anna L David, Danail Stoyanov and Donald M Peebles
• Autonomous Pre-Planned Lift-and-Place of a Novel Robotic Surgery Imagining Rail Using the dVRK Platform; Claudia D'Ettorre, Agostino Stilli, George Dwyer, Maxine Tran and Danail Stoyanov
• Toward a knowledge-based framework for task automation in surgery; Michele Ginesi, Daniele Meli, Hirenkumar Nakawala, Andrea Roberti, Andrea Calanca and Paolo Fiorini
• Intra-operative navigation in Minimally Invasive Surgery: accuracy assessment of the tracking performance ; Mario Arico and Guillaume Morel
• Design and Study of a Next-Generation Computer-Assisted System for Transoral Laser 
• Microsurgery; Nikhil Deshpande, Alperen Acemoglu, Giorgio Peretti, Luca Guastini, Jinoh Lee, Giacinto Barresi, Darwin Caldwell and Leonardo S Mattos
• A Hybrid Visual Servoing Approach for Robotic Laser Tattoo Removal; Damiano Salerno, Veronica Penza, Claudio Fantacci, Alperen Acemoglu, Giovanni Muscato and Leonardo S Mattos
• A Robotic Platform for Neuroendoscopic Procedures in Neo-Natal and Infants; Nabeel Kamal, Armando Cama and Leonardo S Mattos
• Robotic Control of All-Optical Ultrasound Imaging; George Dwyer, Erwin Alles, Richard Colchester, Efthymios Maneas, Sebastien Ourselin, Tom Vercauteren, Jan Deprest, Emmanuel Vander Poorten, Paolo De Coppi, Adrien Desjardins and Danail Stoyanov
• Surgical Robotic Platform for Endoscopic Dissection; Margherita Brancadoro, Claudio Quaglia, Haider Abidi, Marco Augusto Bonino, Alberto Arezzo and Arianna Menciassi
• Towards the Development of a Novel Handheld Robotic Tool for the Expanded Endoscopic Endonasal; Emmanouil Dimitrakakis, George Dwyer, Hani Marcus, Neil Dorward and Danail Stoyanov
• XGBOOST implementation to handle missing values in large surgical datasets; Lucia Migliorelli, Sara Moccia and Emanuele Frontoni
• Deep-learning strategy for informative-frame selection and early-stage cancer diagnosis in laryngoscopic; Michela Ruperti, Ilaria Patrini, Elena De Momi, Leonardo S Mattos, Emanuele Frontoni and Sara Moccia
• APSurg: Abdominal Positioning Surgical System A preliminary study; Veronica Penza and Leonardo S Mattos
• Surgical Gesture and Error Recognition with Time Delay Neural Network on Kinematic Data; Giovanni Menegozzo, Diego Dall'Alba, Chiara Zandonà and Paolo Fiorini
• A position-based framework for the prediction of probe-induced lesion displacement in Ultrasound-guided; Eleonora Tagliabue, Diego Dall'Alba, Enrico Magnabosco, Chiara Tenga and Paolo Fiorin
• Minimally Invasive Surgery Eversion Overtube; Fabrizio Putzu, Taqi Abrar, Jelizaveta Konstantinova and Kaspar Althoefer
• Electrical Bio-impedance Proximity Sensing for Intra-ocular Surgery; Laurent Schoevaerdts, Dominiek Reynaerts and Emmanuel Vander Poorten
• A physical/virtual anatomical platform for hysteroscopy training; Albert Hernansanz, Rut Martinez, Ramon Rovira and Alicia Casals
• SENTISIM: A hybrid training platform for SLNB in local melanoma staging; Albert Hernansanz, Tomàs Pieras, Lara Ferrandiz, David Moreno and Alícia Casals
• Combined Force- and Pose Sensing to Characterize Vaginal Wall Stiffness during Laparoscopic; Jef De Smet, Jan Deprest and Emmanuel Vander Poorten
• Residual networks for inter-foetus membrane segmentation in fetoscopy; Alessandro Casella, Dario Paladini, Elena De Momi, Leonardo S Mattos and Sara Moccia
• Transferring automatic polyp detection to the clinical domain; Patrick Brandao, Omer Ahmad, Evangelos Mazomenos, Laurence Lovat and Danail Stoyanov
• Including temporal information in deep-learning based joint estimation of surgical instruments; Emanuele Colleoni, Sara Moccia, Xiaofei Du, Elena De Momi and Danail Stoyanov
• Contact Force Compensation of a Catheter Tip for Minimally Invasive Cardiovascular Surgery; Omar Al-Ahmad, Mouloud Ourak, Johan Vlekken and Emmanuel Vander Poorten
• An Artificial Neural Network Differential Pressure Flow Predictor to Measure Intra-Aortic Flow for REBOA; Alok Mehta, Akash Mehta, Diana Velazquez-Pimentel, Jack McAlinden, Samy Sadek and Kaspar Althoefer
• Four degrees of freedom soft manipulator module driven by tendons for minimally invasive surgery; Hareesh Godaba, Ahmad Ataka and Kaspar Althoefer
• Vision-based Virtual Fixtures Generation for MIRS Dissection Tasks; Rocco Moccia, Mario Selvaggio, Bruno Siciliano, Alberto Arezzo and Fanny Ficuciello
• Shared Control of an Automatically Aligning Endoscopic Instrument Based on Convolutional Neural; Mirza Awais Ahmad, Caspar Gruijthuijsen, Mouloud Ourak, Jan Deprest and Emmanuel Vander Poorten
• Comparing Users Performances in a Virtual Reality Surgical Task under different Camera Control Modalities; Andrea Mariani, Giorgia Colaci, Nicole Sanna, Eleonora Vendrame, Elena De Momi and Arianna Menciassi
• Modeling and Design of An Active Assistive Exoskeletal Robot For Upper Limb Rehabilitation; Vishal Ramadoss, Dimiter Zlatanov and Matteo Zoppi
• A Deep Reinforcement Learning Approach for Inverse Kinematics of Concentric Tube Robots; Keshav Iyengar, George Dwyer and Dan Stoyanov
• Development of a 3-DOF impedance-type manipulator for cooperative surgical port alignment during; Jonas Smits, Andy Gijbels, Dominiek Reynaerts and Emmanuel Vander Poorten
• Robust laparoscope body calibration using hand-eye calibration methods; Chinmay Samant, Adlane Habed and Michel De Mathelin
• The design of a novel visual interface for the 3D steering of Programmable Bevel-Tip Needles (PBN) during; Eloise Matheson, Riccardo Secoli and Ferdinando Rodriguez Y Baena
• MEMS varifocal mirror for high-power laser focusing in endoscopic laser surgery; André Geraldes, Paolo Fiorini and Leonardo S Mattos
• Momentum-based collision detection algorithm for a biphasic media variable stiffness actuator; Jesus Lugo, Matteo Zoppi and Rezia Molfino
• CBCT reconstruction based on arbitrary trajectories using TIGRE software tool; Sepideh Hatamika, Gernot Kronreif, Joachim Kettenbach and Wolfgang Birkfellner

Source: CRAS'19 proceedings