Xin Chen

发表

Two-Stream UNET Networks for Semantic Segmentation in Medical Images

Xin Chen, Ke Ding, 2022, ArXiv.

ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation

G. Qiu, A. French, Xin Chen, 2022, ArXiv.

An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field

Ruizhe Li, Xin Chen, Xin Chen, 2021, Comput. Methods Programs Biomed..

DRU-Net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation

Xin Chen, Dorothee Auer, Jonathan Garibaldi, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management

Divish Rengasamy, Benjamin Rothwell, Xin Chen, 2020, Sensors.

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels pdf

Yi Wang, Jiatai Lin, Zaiyi Liu, 2021, Medical Image Anal..

Automatic Architectural Drawing Labelling Using Deep Convolutional Neural Network

Seyed Masoud Sajjadian, Xin Chen, Mina Jafari, 2021, Sustainability in Energy and Buildings 2021.

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation

Xin Chen, Jingxin Liu, Jon Garibaldi, 2019, MICCAI.

Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network

Guoping Qiu, Xin Chen, Linlin Shen, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Application of RELUX simulation to investigate energy saving potential from daylighting in a new educational building in UK

Yuehong Su, Xin Chen, Xu Yu, 2014 .

FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net pdf

Jonathan M. Garibaldi, Xin Chen, Dorothee Auer, 2019, ICIG.

A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images Using Inaccurate Annotations

Ning Zhang, Xin Chen, Susan Francis, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

3DSRNet: 3-D Spine Reconstruction Network Using 2-D Orthogonal X-Ray Images Based on Deep Learning

Yang Chen, J. Coatrieux, G. Coatrieux, 2023, IEEE Transactions on Instrumentation and Measurement.

Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss

Golnar K. Mahani, A. French, P. Morgan, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image

Gongning Luo, Kuanquan Wang, Shuo Li, 2019, MICCAI.

A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation

Christian Wagner, Xin Chen, Dorothee Auer, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI pdf

Matteo Bastiani, Ruizhe Li, Xin Chen, 2021, MIUA.

Semi-BGSegNet: A Semi-Supervised Boundary-Guided Breast Tumor Segmentation Network

Xiaoyong He, Yuqing Hou, Xin Chen, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).