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Computer Science

D-Index
46
Citations
9080
World Ranking
6826
National Ranking
414

Overview

Kawal Rhode is affiliated with King's College London in the United Kingdom. Their research activity spans the intersection of medicine and engineering, with a significant focus on biomedical engineering and medical imaging techniques.

The scientist's recent publications reflect a broad engagement with topics in medical technology, surgical robotics, and imaging. These papers include:

  • The Medical Segmentation Decathlon, 2022, Nature Communications
  • A Novel Ultrasound Robot With Force/Torque Measurement and Control for Safe and Efficient Scanning, 2023, IEEE Transactions on Instrumentation and Measurement
  • Robotics in neurointerventional surgery: a systematic review of the literature, 2021, Journal of NeuroInterventional Surgery
  • An eye tracking based virtual reality system for use inside magnetic resonance imaging systems, 2021, Scientific Reports
  • Robotic Intra-Operative Ultrasound: Virtual Environments and Parallel Systems, 2021, IEEE/CAA Journal of Automatica Sinica

The fields of study addressed by Kawal Rhode's work predominantly include Medicine and Engineering. Subfields of particular concentration are:

  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Surgery
  • Cardiology and Cardiovascular Medicine
  • Computer Vision and Pattern Recognition

Research topics that emerge across these works encompass applications and developments in:

  • Soft Robotics and Applications
  • Surgical Simulation and Training
  • Advanced X-ray and CT Imaging
  • Cardiac Valve Diseases and Treatments
  • Anatomy and Medical Technology
  • Cardiac Imaging and Diagnostics
  • Robot Manipulation and Learning

Kawal Rhode frequently collaborates with other researchers, three of whom have coauthored multiple papers with them. These coauthors include:

  • R. James Housden
  • Shuangyi Wang
  • Carlo Saija
  • Antonia Pontiki
  • Ronak Rajani

Their work commonly appears in specialized publication venues such as:

  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Biomedical Engineering
  • arXiv (Cornell University)
  • IEEE/ASME Transactions on Mechatronics
  • International Journal of Computer Assisted Radiology and Surgery

Best Publications

  • The Medical Segmentation Decathlon

    Michela Antonelli;Annika Reinke;Spyridon Bakas;Keyvan Farahani

  • Native T1 mapping in differentiation of normal myocardium from diffuse disease in hypertrophic and dilated cardiomyopathy.

    Valentina O. Puntmann;Tobias Voigt;Zhong Chen;Manuel Mayr

  • Cardiac catheterisation guided by MRI in children and adults with congenital heart disease.

    Reza Razavi;Derek L. G. Hill;Stephen F. Keevil;Marc E. Miquel

  • Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

    Xiahai Zhuang;Lei Li;Christian Payer;Darko Stern

  • Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: A preliminary clinical validation

    Maxime Sermesant;Radomir Chabiniok;Phani Pradeep Chinchapatnam;T. Mansi

  • A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

    Xiahai Zhuang;Kawal S Rhode;Reza S Razavi;David J Hawkes

  • Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge

    Rashed Karim;R. James Housden;Mayuragoban Balasubramaniam;Zhong Chen

  • A system for real-time XMR guided cardiovascular intervention

    K.S. Rhode;M. Sermesant;D. Brogan;S. Hegde

  • Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets

    Catalina Tobon-Gomez;Arjan J. Geers;Jochen Peters;Jurgen Weese

  • Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.

    C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz

  • Intensity-based 2-D - 3-D registration of cerebral angiograms

    J.H. Hipwell;G.P. Penney;R.A. McLaughlin;K. Rhode

  • STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART

    Oscar Camara;Mihaela Pop;Kawal Rhode;Maxime Sermesant

  • Registration and tracking to integrate X-ray and MR images in an XMR Facility

    K.S. Rhode;D.L.G. Hill;P.J. Edwards;J. Hipwell

  • Registration of 3D trans-esophageal echocardiography to X-ray fluoroscopy using image-based probe tracking

    Gang Gao;Graeme Penney;YingLiang Ma;Nicolas Gogin

  • Coupled personalization of cardiac electrophysiology models for prediction of ischaemic ventricular tachycardia

    Jatin Relan;Phani Pradeep Chinchapatnam;Maxime Sermesant;Kawal Rhode

  • Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images

    Rashed Karim;Pranav Bhagirath;Piet Claus;R. James Housden

  • Tissue deformation and shape models in image-guided interventions: a discussion paper.

    David J. Hawkes;Dean C. Barratt;Jane M. Blackall;Carolyn S. K. Chan

  • Modeling atrial fiber orientation in patient-specific geometries: a semi-automatic rule-based approach

    Martin W. Krueger;Viktor Schmidt;Catalina Tobón;Frank M. Weber

  • CardiacNET: Segmentation of left atrium and proximal pulmonary veins from MRI using multi-view CNN

    Aliasghar Mortazi;Rashed Karim;Kawal S. Rhode;Jeremy Burt

  • 3-D Visualization of Acute RF Ablation Lesions Using MRI for the Simultaneous Determination of the Patterns of Necrosis and Edema

    Benjamin R Knowles;Dennis Caulfield;Michael Cooklin;C Aldo Rinaldi

  • Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges

    Oscar Camara;Tommaso Mansi;Mihaela Pop;Kawal Rhode

  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    Oscar Camara;Tommaso Mansi;Mihaela Pop;Kawal Rhode

Frequent Co-Authors

Maxime Sermesant
Maxime Sermesant Université Côte d'Azur
Andrew P. King
Andrew P. King King's College London
Graeme P. Penney
Graeme P. Penney King's College London
Kaspar Althoefer
Kaspar Althoefer Queen Mary University of London
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Derek L. G. Hill
Derek L. G. Hill Panoramic Digital Health
Hervé Delingette
Hervé Delingette French Institute for Research in Computer Science and Automation - INRIA
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
David J. Hawkes
David J. Hawkes University College London
Olaf Dössel
Olaf Dössel Karlsruhe Institute of Technology

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