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Junlin Yang
Junlin Yang
Verified email at yale.edu
Title
Cited by
Cited by
Year
Robust and generalizable visual representation learning via random convolutions
Z Xu, D Liu, J Yang, C Raffel, M Niethammer
arXiv preprint arXiv:2007.13003, 2020
1712020
Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization
D Li, J Yang, K Kreis, A Torralba, S Fidler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1532021
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation
J Yang, NC Dvornek, F Zhang, J Chapiro, MD Lin, JS Duncan
International Conference on Medical Image Computing and Computer-Assisted …, 2019
1492019
ShelfNet for real-time semantic segmentation
J Zhuang, J Yang, L Gu, N Dvornek
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2018
134*2018
2018 robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2020
692020
Unsupervised wasserstein distance guided domain adaptation for 3d multi-domain liver segmentation
C You, J Yang, J Chapiro, JS Duncan
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
472020
Liver tissue classification using an auto-context-based deep neural network with a multi-phase training framework
F Zhang, J Yang, N Nezami, F Laage-Gaupp, J Chapiro, M De Lin, ...
Patch-Based Techniques in Medical Imaging: 4th International Workshop, Patch …, 2018
262018
Automatic brain tumor segmentation with contour aware residual network and adversarial training
HY Yang, J Yang
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
242019
Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution (co-first author)
Y Xu*, J Yang*
ACL 2019 Workshop on Gender Bias for Natural Language Processing, 2019
21*2019
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
J Yang, NC Dvornek, F Zhang, J Zhuang, J Chapiro, MD Lin, JS Duncan
Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2019
192019
Robotic scene segmentation challenge
M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ...
arXiv preprint arXiv:2001.11190, 2018
162018
Interpretable and annotation-efficient learning for medical image computing
C You, J Yang, J Chapiro, JS Duncan
5th International Workshop, LABELS, 4-8, 2020
122020
Learn To Be Uncertain: Leveraging Uncertain Labels In Chest X-rays With Bayesian Neural Networks.
HY Yang, J Yang, Y Pan, K Cao, Q Song, F Gao, Y Yin
CVPR Workshops, 5-8, 2019
122019
Cross-modality segmentation by self-supervised semantic alignment in disentangled content space
J Yang, X Li, D Pak, NC Dvornek, J Chapiro, MD Lin, JS Duncan
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
112020
Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification
F Zhang, N Dvornek, J Yang, J Chapiro, J Duncan
IEEE Transactions on Medical Imaging, 2020
102020
Decision explanation and feature importance for invertible networks
J Zhuang, NC Dvornek, X Li, J Yang, J Duncan
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
62019
Quantitative automated segmentation of lipiodol deposits on cone-beam CT Imaging acquired during transarterial chemoembolization for liver tumors: a deep learning approach
R Malpani, CW Petty, J Yang, N Bhatt, T Zeevi, V Chockalingam, R Raju, ...
Journal of Vascular and Interventional Radiology 33 (3), 324-332. e2, 2022
22022
Hepatocellular carcinoma intra-arterial treatment response prediction for improved therapeutic decision-making
J Yang, NC Dvornek, F Zhang, J Chapiro, MD Lin, A Abajian, JS Duncan
arXiv preprint arXiv:1912.00411, 2019
12019
Use of machine learning to predict the histopathological ImmunoScore in hepatocellular carcinoma on multiparametric MRI
J Yang, A Shewarega, J Santana, V Pekurovsky, X Zhang, MD Lin, ...
Journal of Hepatology 77, S935, 2022
2022
ASD Brain Biomarker Detection on fMRI Images by Analyzing Deep Neural Network (DNN)
X Li, N Dvornek, J Zhuang, J Yang, P Ventola, J Duncan
Organization for Human Brain Mapping (OHBM 2018), 2018
2018
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Articles 1–20