Gabriel Tjio

According to our database, Gabriel Tjio authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation.

Gabriel Tjio, Ping Liu, Yawei Luo, Chee Keong Kwoh, Joey Tianyi Zhou

CoRR, 2023

Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation.

Gabriel Tjio, Ping Liu, Chee-Keong Kwoh, Joey Tianyi Zhou

CoRR, 2023

2022

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation.

Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2020

Automatic detection of anatomical landmarks in brain MR scanning using multi-task deep neural networks.

Xulei Yang, Wai Teng Tang, Gabriel Tjio, Si Yong Yeo, Yi Su

Neurocomputing, 2020

Accurate Tumor Tissue Region Detection with Accelerated Deep Convolutional Neural Networks.

Gabriel Tjio, Xulei Yang, Jia Mei Hong, Sum Thai Wong, Vanessa Ding, Andre Choo, Yi Su

CoRR, 2020

Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation.

Xulei Yang, Xin Zhao, Gabriel Tjio, Cen Chen, Li Wang, Bihan Wen, Yi Su

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation.

Gabriel Tjio, Shaohua Li, Xinxing Xu, Daniel Shu Wei Ting, Yong Liu, Rick Siow Mong Goh

Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Multi-Instance Multi-Scale CNN for Medical Image Classification.

Shaohua Li, Yong Liu, Xiuchao Sui, Cheng Chen, Gabriel Tjio, Daniel Shu Wei Ting, Rick Siow Mong Goh

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Multi-channel Deep Learning Approach for Segmentation of the Left Ventricular Endocardium from Cardiac Images.

Xulei Yang, Gabriel Tjio, Feng Yang, Jie Ding, Senthil Kumar, Shuang Leng, Xiaodan Zhao, Ru San Tan, Liang Zhong, Yi Su

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019