Junlin Yang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Agnostic Learning

Semantic Segmentation

Domain Adaptation

Convolutional Neural Networks

Top Venues

BrainLes@MICCAI (2)

Medical Biol. Eng. Comput.

Publications

Jiarui Zhang, Zhongfeng Guo, Junlin Yang
Research on recognition algorithm for special-shaped parts based on improved YOLOv5s. J. Electronic Imaging 33 (1) (2024)
Wenqing Wei, Tianyuan Zhang, Zifang Huang, Junlin Yang
Finite element analysis in brace treatment on adolescent idiopathic scoliosis. Medical Biol. Eng. Comput. 60 (4) (2022)
Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer
Robust and Generalizable Visual Representation Learning via Random Convolutions. ICLR (2021)
Kun Xia, Ruifeng Hou, Junlin Yang, Xiang Li
A Real-Time Spine Orthopedic System Based on Bluetooth Low Energy and Internet of Things. IEEE Access 9 (2021)
Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler
Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CVPR (2021)
Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CoRR (2021)
Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI (2020)
Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation. CoRR (2020)
Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer
Robust and Generalizable Visual Representation Learning via Random Convolutions. CoRR (2020)
Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel
2018 Robotic Scene Segmentation Challenge. CoRR (2020)
Fan Zhang, Nicha C. Dvornek, Junlin Yang, Julius Chapiro, Jim Duncan
Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. IEEE Trans. Medical Imaging 39 (11) (2020)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
Decision explanation and feature importance for invertible networks. ICCV Workshops (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. CoRR (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops (2019)
Yinchuan Xu, Junlin Yang
Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution. CoRR (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
Decision Explanation and Feature Importance for Invertible Networks. CoRR (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. CoRR (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. MICCAI (2) (2019)
Liwei Huang, Wei Shao, Yan Zhang, Junlin Yang, Yaxiang Liu
A radio environment map construction scheme with hidden Markov Model based spectrum occupancy prediction. HP3C (2019)
Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek
ShelfNet for Fast Semantic Segmentation. ICCV Workshops (2019)
Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, Aaron Abajian, James S. Duncan
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. CoRR (2019)
Hao-Yu Yang, Junlin Yang
Automatic Brain Tumor Segmentation with Contour Aware Residual Network and Adversarial Training. BrainLes@MICCAI (2) (2018)
Fan Zhang, Junlin Yang, Nariman Nezami, Fabian Laage-gaupp, Julius Chapiro, Ming De Lin, James S. Duncan
Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework. Patch-MI@MICCAI (2018)