Zhe Huang

发表

Fix-A-Step: Effective Semi-supervised Learning from Uncurated Unlabeled Sets

B. Wessler, M. Hughes, Zhe Huang, 2022, ArXiv.

Fix-A-Step: Semi-supervised Learning From Uncurated Unlabeled Data

B. Wessler, M. Hughes, Zhe Huang, 2022, AISTATS.

A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms pdf

Michael C. Hughes, Zhe Huang, Gary Long, 2021, MLHC.

Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening

Nan Wu, Kyunghyun Cho, Eralda Mema, 2019, IEEE Transactions on Medical Imaging.

Automatic Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment Based on CNN + SVM Networks with End-to-End Training

Zhe Huang, Ming-Jian Sun, Chengan Guo, 2021, Comput. Intell. Neurosci..

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms

Kyunghyun Cho, Krzysztof J. Geras, Linda Moy, 2021, Journal of Digital Imaging.

Automatic Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Based on CNN+SVM Networks with End-to-end Training

Zhe Huang, Ming-Jian Sun, Chengan Guo, 2021, 2021 13th International Conference on Advanced Computational Intelligence (ICACI).

Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning

B. Wessler, M. Hughes, Zhe Huang, 2023, MLHC.

Robust Finger Vein Recognition Based on Deep CNN with Spatial Attention and Bias Field Correction

Chengan Guo, Zhe Huang, Zhe Huang, 2020, 2020 12th International Conference on Advanced Computational Intelligence (ICACI).

FSD: Fully-Specialized Detector via Neural Architecture Search

Zhe Huang, Yudian Li, 2023, 2023 5th International Conference on Computer Communication and the Internet (ICCCI).

Accuracy versus time frontiers of semi-supervised and self-supervised learning on medical images

Shuchin Aeron, M. C. Hughes, Ruijie Jiang, 2023, ArXiv.

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms pdf

Nan Wu, Kyunghyun Cho, Krzysztof J. Geras, 2020, ArXiv.

Systematic comparison of semi-supervised and self-supervised learning for medical image classification

Shuchin Aeron, M. C. Hughes, Ruijie Jiang, 2023, 2307.08919.