Tom Vercauteren

Tom Vercauteren

King's College

H-index: 60

North America-United States

About Tom Vercauteren

Tom Vercauteren, With an exceptional h-index of 60 and a recent h-index of 50 (since 2020), a distinguished researcher at King's College, specializes in the field of Medical Image Computing, Image Registration, Computer-assisted Interventions, Endomicroscopy, Image-guided Interventions.

His recent articles reflect a diverse array of research interests and contributions to the field:

Text promptable surgical instrument segmentation with vision-language models

A comparative study of analytical tissue reflectance models using simulated and experimental data

Collaborative human-robot surgery for Mandibular Angle Split Osteotomy: Optical tracking based approach

Unpaired intra-operative OCT (iOCT) video super-resolution with contrastive learning

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation

Longitudinal MRI in the context of in utero surgery for open spina bifida: A descriptive study

Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning

Tom Vercauteren Information

University

Position

Professor of Interventional Image Computing

Citations(all)

22769

Citations(since 2020)

15737

Cited By

12257

hIndex(all)

60

hIndex(since 2020)

50

i10Index(all)

186

i10Index(since 2020)

158

Email

University Profile Page

King's College

Google Scholar

View Google Scholar Profile

Tom Vercauteren Skills & Research Interests

Medical Image Computing

Image Registration

Computer-assisted Interventions

Endomicroscopy

Image-guided Interventions

Top articles of Tom Vercauteren

Title

Journal

Author(s)

Publication Date

Text promptable surgical instrument segmentation with vision-language models

Zijian Zhou

Oluwatosin Alabi

Meng Wei

Tom Vercauteren

Miaojing Shi

2023/6/15

A comparative study of analytical tissue reflectance models using simulated and experimental data

Anisha Bahl

Silvere Segaud

Yijing Xie

Jonathan Shapey

Mads S Bergholt

...

2024/3/12

Collaborative human-robot surgery for Mandibular Angle Split Osteotomy: Optical tracking based approach

Biomedical Signal Processing and Control

Zhe Han

Huanyu Tian

Tom Vercauteren

Da Liu

Changsheng Li

...

2024/7/1

Unpaired intra-operative OCT (iOCT) video super-resolution with contrastive learning

Biomedical Optics Express

Charalampos Komninos

Theodoros Pissas

Blanca Flores

Edward Bloch

Tom Vercauteren

...

2024/2/1

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

arXiv preprint arXiv:2403.06759

Theodore Barfoot

Luis Garcia-Peraza-Herrera

Ben Glocker

Tom Vercauteren

2024/3/11

Label merge-and-split: A graph-colouring approach for memory-efficient brain parcellation

arXiv preprint arXiv:2404.10572

Aaron Kujawa

Reuben Dorent

Sebastien Ourselin

Tom Vercauteren

2024/4/16

Longitudinal MRI in the context of in utero surgery for open spina bifida: A descriptive study

Acta Obstetricia et Gynecologica Scandinavica

Nada Mufti

Michael Aertsen

Dominic Thomson

Phillippe De Vloo

Philippe Demaerel

...

2024/2

Large Model driven Radiology Report Generation with Clinical Quality Reinforcement Learning

arXiv preprint arXiv:2403.06728

Zijian Zhou

Miaojing Shi

Meng Wei

Oluwatosin Alabi

Zijie Yue

...

2024/3/11

A clinical guideline driven automated linear feature extraction for vestibular schwannoma

Navodini Wijethilake

Steve Connor

Anna Oviedova

Aaron Kujawa

Rebecca Burger

...

2024/4/2

Multitask Learning in Minimally Invasive Surgical Vision: A Review

Oluwatosin Alabi

Tom Vercauteren

Miaojing Shi

2024/1/16

Transferring Relative Monocular Depth to Surgical Vision with Temporal Consistency

arXiv preprint arXiv:2403.06683

Charlie Budd

Tom Vercauteren

2024/3/11

A novel pipeline for quantitative optical properties and fluorescence analysis of fresh human glioma tissue

Silvère Ségaud

Matthew Elliot

Bappaditya Debnath

Graeme Stasiuk

Tom Vercauteren

...

2024/3/13

A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence

Lucas Fidon

Michael Aertsen

Florian Kofler

Andrea Bink

Anna L David

...

2024/1/10

High-fidelity, low-cost synthetic training model for fetoscopic spina bifida repair

American journal of obstetrics & gynecology MFM

Mirza A Ahmad

Kanokwaroon Watananirun

Felix De Bie

Ann-Sophie Page

Paolo De Coppi

...

2024/3/1

Learning to compensate spectral coloring in a LED-based photoacoustic/ultrasound imaging system

Mengjie Shi

Tom Vercauteren

Wenfeng Xia

2024/3/12

Author response to: Comment on: Intraoperative bowel perfusion assessment methods and their effects on anastomotic leak rates: meta-analysis

Maxwell S Renna

Mariusz T Grzeda

James Bailey

Alison Hainsworth

Sebastien Ourselin

...

2024/1

Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames

Qi Li

Ziyi Shen

Qian Li

Dean C Barratt

Thomas Dowrick

...

2023/4/18

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency

Neurocomputing

Jianghao Wu

Dong Guo

Lu Wang

Shuojue Yang

Yuanjie Zheng

...

2023/8/1

DEEPBEAS3D: Deep Learning and B-Spline EXPLICIT Active Surfaces

Helena Williams

João Pedrosa

Muhammad Asad

Laura Cattani

Tom Vercauteren

...

2023/9/3

Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning

Martin Huber

Sébastien Ourselin

Christos Bergeles

Tom Vercauteren

2023/10/1

See List of Professors in Tom Vercauteren University(King's College)

Co-Authors

H-index: 116
Sebastien Ourselin

Sebastien Ourselin

King's College London

H-index: 68
Marc Modat

Marc Modat

King's College London

H-index: 68
M. Jorge Cardoso

M. Jorge Cardoso

King's College London

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