Mou-Cheng Xu - RankMe

13 papers Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations. CoRR Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2023	J	`jnl`	MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels. IEEE Trans. Medical Imaging Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022	—	`conf`	Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis. DGM4MICCAI@MICCAI Ashkan Pakzad, Mou-Cheng Xu, Wing Keung Cheung, Marie Vermant, Tinne Goos, Laurens J. De Sadeleer, Stijn E. Verleden, Wim A. Wuyts, John R. Hurst, Joseph Jacob
2022	J	`jnl`	Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis. CoRR Ashkan Pakzad, Mou-Cheng Xu, Wing Keung Cheung, Marie Vermant, Tinne Goos, Laurens J. De Sadeleer, Stijn E. Verleden, Wim A. Wuyts, John R. Hurst, Joseph Jacob
2022	J	`jnl`	Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation. CoRR Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2022	—	`conf`	Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation. MICCAI (5) Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2022	J	`jnl`	Deformably-Scaled Transposed Convolution. CoRR Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander
2022	—	`conf`	Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. MIDL Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022	J	`jnl`	Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. CoRR Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2021	J	`jnl`	MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation. CoRR Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob
2020	J	`jnl`	Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
2020	J	`jnl`	Learning To Pay Attention To Mistakes. CoRR Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
2020	J	`jnl`	Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery. CoRR Mou-Cheng Xu