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2020 – today
- 2024
[j5]Junlin Yang
, John Anderson Garcia Henao, Nicha C. Dvornek, Jianchun He, Danielle V. Bower, Arno Depotter, Herkus Bajercius, Aurélie Pahud de Mortanges, Chenyu You, Christopher Gange, Roberta Eufrasia Ledda, Mario Silva, Charles S. Dela Cruz, Wolf Hautz, Harald M. Bonel, Mauricio Reyes, Lawrence H. Staib, Alexander Poellinger, James S. Duncan:
Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week. Comput. Medical Imaging Graph. 118: 102442 (2024)- [j4]Jiarui Zhang, Zhongfeng Guo, Junlin Yang:
Research on recognition algorithm for special-shaped parts based on improved YOLOv5s. Adv. Math. Commun. 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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