| 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 | 204 | 2020 |
| 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 | 193 | 2021 |
| 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 | 156 | 2019 |
| 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 | 152* | 2018 |
| 2018 robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2020 | 83 | 2020 |
| 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 | 54 | 2020 |
| 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 | 28 | 2018 |
| 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 | 26 | 2019 |
| 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 | 22* | 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 | 19 | 2019 |
| Robotic scene segmentation challenge M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... arXiv preprint arXiv:2001.11190, 2018 | 19 | 2018 |
| Interpretable and annotation-efficient learning for medical image computing C You, J Yang, J Chapiro, JS Duncan 5th International Workshop, LABELS, 4-8, 2020 | 13 | 2020 |
| 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 | 12 | 2019 |
| 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 | 11 | 2020 |
| 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 | 10 | 2020 |
| robotic scene segmentation challenge (2020) M Allan, S Kondo, S Bodenstedt, S Leger, R Kadkhodamohammadi, ... | 7 | 2018 |
| 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 | 6 | 2019 |
| 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 | 3 | 2022 |
| 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 | 1 | 2019 |
| 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 |
James S. DuncanEbenezer K. Hunt Professor of Biomedical Engineering, Radiology, Electr. Engr., Yale UniversityDirección de correo verificada de yale.edu
