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2020 – today
- 2024
[j4]Jiarui Zhang, Zhongfeng Guo, Junlin Yang:
Research on recognition algorithm for special-shaped parts based on improved YOLOv5s. J. Electronic Imaging 33(1) (2024)- [c13]Hao Kong, Haoxin Lyu, Jiadi Yu, Linghe Kong, Junlin Yang, Yanzhi Ren, Hongbo Liu, Yingying Chen:
mmHand: 3D Hand Pose Estimation Leveraging mmWave Signals. ICDCS 2024: 1062-1073 - [c12]Junlin Yang, Jiadi Yu, Linghe Kong, Yanmin Zhu, Hong-Ning Dai
:
OpenAuth: Human Body-Based User Authentication Using mmWave Signals in Open-World Scenarios. ICDCS 2024: 1330-1341 - 2022
- [j3]Wenqing Wei, Tianyuan Zhang, Zifang Huang, Junlin Yang:
Finite element analysis in brace treatment on adolescent idiopathic scoliosis. Medical Biol. Eng. Comput. 60(4): 907-920 (2022) - 2021
- [j2]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: 153977-153984 (2021) - [c11]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: 8300-8311 - [c10]Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer:
Robust and Generalizable Visual Representation Learning via Random Convolutions. ICLR 2021 - [i9]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 abs/2104.05833 (2021) - 2020
- [j1]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): 3331-3342 (2020) - [c9]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: 52-61 - [c8]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: 155-163 - [i8]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 abs/2001.11190 (2020) - [i7]Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer:
Robust and Generalizable Visual Representation Learning via Random Convolutions. CoRR abs/2007.13003 (2020) - [i6]Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan:
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation. CoRR abs/2009.02831 (2020)
2010 – 2019
- 2019
- [c7]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: 173-177 - [c6]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: 323-331 - [c5]Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek:
ShelfNet for Fast Semantic Segmentation. ICCV Workshops 2019: 847-856 - [c4]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision explanation and feature importance for invertible networks. ICCV Workshops 2019: 4235-4239 - [c3]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: 255-263 - [i5]Yinchuan Xu, Junlin Yang:
Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution. CoRR abs/1905.08868 (2019) - [i4]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 abs/1907.13590 (2019) - [i3]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 abs/1908.10489 (2019) - [i2]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision Explanation and Feature Importance for Invertible Networks. CoRR abs/1910.00406 (2019) - [i1]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 abs/1912.00411 (2019) - 2018
- [c2]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: 59-66 - [c1]Hao-Yu Yang, Junlin Yang:
Automatic Brain Tumor Segmentation with Contour Aware Residual Network and Adversarial Training. BrainLes@MICCAI (2) 2018: 267-278
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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