Matthew J. Clarkson
Multi-Task Recurrent Neural Network for Surgical Gesture Recognition and Progress Prediction

Mar 10, 2020
Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov

* Accepted to ICRA 2020 
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Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches

Nov 29, 2019
Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, DanieleRavi, Matthew J. Clarkson, Stephen P. Pereira, Tom Vercauteren


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More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation

Aug 20, 2019
Yunguan Fu, Maria R. Robu, Bongjin Koo, Crispin Schneider, Stijn van Laarhoven, Danail Stoyanov, Brian Davidson, Matthew J. Clarkson, Yipeng Hu

* Accepted to MICCAI MIL3ID 2019 
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Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation

Jul 05, 2019
Micha Pfeiffer, Isabel Funke, Maria R. Robu, Sebastian Bodenstedt, Leon Strenger, Sandy Engelhardt, Tobias Roß, Matthew J. Clarkson, Kurinchi Gurusamy, Brian R. Davidson, Lena Maier-Hein, Carina Riediger, Thilo Welsch, Jürgen Weitz, Stefanie Speidel

* Accepted at MICCAI 2019 
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Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas

Feb 09, 2018
Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka, Kevin Tchaka, Francisco Vasconcelos, Matthew J. Clarkson, Kurinchi Gurusamy, David J. Hawkes, Brian Davidson, Danail Stoyanov

* 6 pages, 5 figures. Proc. SPIE 10576 (2018) Copyright 2018 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited 
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