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Chen Jin

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An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning

Oct 18, 2023
Chen Jin, Ryutaro Tanno, Amrutha Saseendran, Tom Diethe, Philip Teare

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CAMIL: Context-Aware Multiple Instance Learning for Whole Slide Image Classification

May 09, 2023
Olga Fourkioti, Avi Arampatzis, Chen Jin, Mat De Vries, Chris Bakal

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Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations

May 02, 2023
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob

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Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Aug 08, 2022
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob

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Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

Apr 01, 2022
Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B Blumberg, Frederick J Wilson, Marius deGroot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob

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MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation

Oct 23, 2021
Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius De Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob

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Learning to Downsample for Segmentation of Ultra-High Resolution Images

Sep 22, 2021
Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander

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Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation

May 20, 2021
Chen Jin, Zhuangwei Shi, Weihua Li, Yanbu Guo

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Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

Aug 06, 2020
Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander

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Foveation for Segmentation of Ultra-High Resolution Images

Jul 31, 2020
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander

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