World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
9373
World Ranking
10012
National Ranking
1254

Best Publications

  • Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

    Guotai Wang;Wenqi Li;Maria A. Zuluaga;Rosalind Pratt

  • Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.

    Guotai Wang;Guotai Wang;Guotai Wang;Wenqi Li;Wenqi Li;Michael Aertsen;Jan Deprest

  • NiftyNet: a deep-learning platform for medical imaging

    Eli Gibson;Wenqi Li;Carole H. Sudre;Lucas Fidon

  • Semi-supervised Medical Image Segmentation through Dual-task Consistency

    Xiangde Luo;Jieneng Chen;Tao Song;Yinan Chen

  • DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation

    Guotai Wang;Maria A. Zuluaga;Wenqi Li;Rosalind Pratt

  • Weakly-supervised convolutional neural networks for multimodal image registration.

    Yipeng Hu;Yipeng Hu;Marc Modat;Eli Gibson;Wenqi Li

  • A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

    Guotai Wang;Xinglong Liu;Chaoping Li;Zhiyong Xu

  • Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency

    Unknown

  • On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

    Wenqi Li;Guotai Wang;Lucas Fidon;Sebastien Ourselin

  • An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.

    Michael Ebner;Michael Ebner;Guotai Wang;Guotai Wang;Guotai Wang;Wenqi Li;Wenqi Li;Michael Aertsen

  • Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks

    Guotai Wang;Wenqi Li;Sebastien Ourselin;Tom Vercauteren

  • Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation.

    Guotai Wang;Wenqi Li;Sébastien Ourselin;Tom Vercauteren

  • Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

    Xiangde Luo;Wenjun Liao;Jieneng Chen;Tao Song

  • Automatic brain tumor segmentation using convolutional neural networks with test-time augmentation

    Guotai Wang;Wenqi Li;Sébastien Ourselin;Tom Vercauteren

  • WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

    Unknown

  • MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.

    Xiangde Luo;Guotai Wang;Tao Song;Jingyang Zhang

  • An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI

    Jonathan Shapey;Jonathan Shapey;Guotai Wang;Guotai Wang;Guotai Wang;Reuben Dorent;Alexis Dimitriadis

  • Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

    Unknown

  • Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks.

    Guotai Wang;Tao Song;Qiang Dong;Mei Cui

  • Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

    Unknown

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