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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 | 638 | 2018 |
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 | 638 | 2018 |
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 | 610 | 2021 |
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 | 92 | 2023 |
Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation C Chen, J Miao, D Wu, A Zhong, Z Yan, S Kim, J Hu, Z Liu, L Sun, X Li, ... Medical Image Analysis 98, 103310, 2024 | 86 | 2024 |
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 | 75 | 2021 |
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 | 55 | 2021 |
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 | 43 | 2023 |
Rcagent: Cloud root cause analysis by autonomous agents with tool-augmented large language models Z Wang, Z Liu, Y Zhang, A Zhong, J Wang, F Yin, L Fan, L Wu, Q Wen Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 29 | 2024 |
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 | 22 | 2017 |
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 | 20 | 2019 |
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 | 16 | 2023 |
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 | 14 | 2017 |
FedDAR: Federated Domain-Aware Representation Learning A Zhong, H He, Z Ren, N Li, Q Li arXiv preprint arXiv:2209.04007, 2022 | 12 | 2022 |
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 | 11 | 2023 |
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 | 7 | 2021 |
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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 | 6 | 2021 |
Logparser-llm: Advancing efficient log parsing with large language models A Zhong, D Mo, G Liu, J Liu, Q Lu, Q Zhou, J Wu, Q Li, Q Wen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 4 | 2024 |