Allan L. Yuille
Affiliations: | University of California, Los Angeles, Los Angeles, CA |
Area:
Statistics, Cognitive PsychologyGoogle:
"Allan Yuille"
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Publications
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| Wang Y, Tang P, Zhou Y, et al. (2021) Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. Ieee Transactions On Medical Imaging |
| Dreizin D, Zhou Y, Fu S, et al. (2020) A Multiscale Deep Learning Method for Quantitative Visualization of Traumatic Hemoperitoneum at CT: Assessment of Feasibility and Comparison with Subjective Categorical Estimation. Radiology. Artificial Intelligence. 2: e190220 |
| Park S, Chu LC, Fishman EK, et al. (2020) Erratum to "Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation" [Diagn. Interv. Imaging. 101 (2020) 35-44]. Diagnostic and Interventional Imaging |
| Ren Z, Yan J, Yang X, et al. (2020) Unsupervised learning of optical flow with patch consistency and occlusion estimation Pattern Recognition. 103: 107191 |
| Weisberg EM, Chu LC, Park S, et al. (2019) Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis. Diagnostic and Interventional Imaging |
| Chu LC, Park S, Kawamoto S, et al. (2019) Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience. Journal of the American College of Radiology : Jacr. 16: 1338-1342 |
| Park S, Chu LC, Fishman EK, et al. (2019) Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation. Diagnostic and Interventional Imaging |
| Luo C, Yang Z, Wang P, et al. (2019) Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Zuo W, Lin L, Yuille AL, et al. (2018) Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis Ieee Transactions On Circuits and Systems For Video Technology. 28: 2441-2448 |
| Lugo-Fagundo C, Vogelstein B, Yuille A, et al. (2017) Deep Learning in Radiology: Now the Real Work Begins. Journal of the American College of Radiology : Jacr |