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Aoxiao Zhong
Aoxiao Zhong
School of Engineering and Applied Sciences (SEAS) at Harvard University
在 g.harvard.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
BE Bejnordi, M Veta, PJ Van Diest, B Van Ginneken, N Karssemeijer, ...
Jama 318 (22), 2199-2210, 2017
28962017
Beyond finite layer neural networks: Bridging deep architectures and numerical differential equations
Y Lu, A Zhong, Q Li, B Dong
International Conference on Machine Learning, 3276-3285, 2018
5572018
From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge
P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ...
IEEE transactions on medical imaging 38 (2), 550-560, 2018
5052018
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
4442021
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19
A Zhong, X Li, D Wu, H Ren, K Kim, Y Kim, V Buch, N Neumark, B Bizzo, ...
Medical Image Analysis 70, 101993, 2021
602021
Radiology-llama2: Best-in-class large language model for radiology
Z Liu, Y Li, P Shu, A Zhong, L Yang, C Ju, Z Wu, C Ma, J Luo, C Chen, ...
arXiv preprint arXiv:2309.06419, 2023
492023
Federated Learning used for predicting outcomes in SARS-COV-2 patients
M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ...
Research Square, 2021
472021
Indexing metric uncertain data for range queries and range joins
L Chen, Y Gao, A Zhong, CS Jensen, G Chen, B Zheng
The VLDB Journal 26, 585-610, 2017
222017
Online markov decision processes with time-varying transition probabilities and rewards
Y Li, A Zhong, G Qu, N Li
ICML workshop on Real-world Sequential Decision Making 3, 2019
202019
Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation
C Chen, J Miao, D Wu, Z Yan, S Kim, J Hu, A Zhong, Z Liu, L Sun, X Li, ...
arXiv preprint arXiv:2309.08842, 2023
182023
Self-paced convolutional neural network for computer aided detection in medical imaging analysis
X Li, A Zhong, M Lin, N Guo, M Sun, A Sitek, J Ye, J Thrall, Q Li
Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017
132017
Tailoring large language models to radiology: A preliminary approach to llm adaptation for a highly specialized domain
Z Liu, A Zhong, Y Li, L Yang, C Ju, Z Wu, C Ma, P Shu, C Chen, S Kim, ...
International Workshop on Machine Learning in Medical Imaging, 464-473, 2023
122023
Contrastive masked image-text modeling for medical visual representation learning
C Chen, A Zhong, D Wu, J Luo, Q Li
International Conference on Medical Image Computing and Computer-Assisted …, 2023
72023
Medivista-sam: Zero-shot medical video analysis with spatio-temporal sam adaptation
S Kim, K Kim, J Hu, C Chen, Z Lyu, R Hui, S Kim, Z Liu, A Zhong, X Li, ...
arXiv preprint arXiv:2309.13539, 2023
62023
e Silva PMC
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
62021
FedDAR: Federated Domain-Aware Representation Learning
A Zhong, H He, Z Ren, N Li, Q Li
arXiv preprint arXiv:2209.04007, 2022
52022
LQR with tracking: A zeroth-order approach and its global convergence
Z Ren, A Zhong, N Li
2021 American Control Conference (ACC), 2562-2568, 2021
52021
Development and validation of a deep learning model for prediction of severe outcomes in suspected covid-19 infection
V Buch, A Zhong, X Li, MABC Rockenbach, D Wu, H Ren, J Guan, ...
arXiv preprint arXiv:2103.11269, 2021
52021
RCAgent: Cloud Root Cause Analysis by Autonomous Agents with Tool-Augmented Large Language Models
Z Wang, Z Liu, Y Zhang, A Zhong, L Fan, L Wu, Q Wen
arXiv preprint arXiv:2310.16340, 2023
22023
Federated LQR: Learning through Sharing.
Z Ren, A Zhong, Z Zhou, N Li
arXiv preprint arXiv:2011.01815, 2020
12020
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