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ORCID1st Healthcare AI and COVID-19 Workshop 2022, Baltimore, MD, USA
- Peng Xu, Tingting Zhu, Pengkai Zhu, David A. Clifton, Danielle Belgrave, Yuanting Zhang:
Proceedings of the 1st Workshop on Healthcare AI and COVID-19, 22 July 2022, Baltimore, Maryland, USA. Proceedings of Machine Learning Research 184, PMLR 2022 - Tongtong Yuan, Lingmei Dong, Bo Liu, Jialiang Huang
, Chuangbai Xiao:
Deep Metric Learning by Exploring Confusing Triplet Embeddings for COVID-19 Medical Images Diagnosis. 1-10 - Fujun Wu, Jianjun Yuan, Yuxi Li, Jinyi Li, Ming Ye:
ASA-CoroNet: Adaptive Self-attention Network for COVID-19 Automated Diagnosis using Chest X-ray Images. 11-20 - Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh, Risi Kondor:
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. 21-32 - Bruno Barbosa Miranda de Paiva, Polianna Delfino Pereira, Virginia Mara Reis Gomes, Maira Viana Rego Souza-Silva, Cláudio Moisés Valiense de Andrade, Milena Soriano Marcolino, Marcos André Gonçalves:
Characterizing and Understanding Temporal Effects in COVID-19 Data. 33-40 - Taha Ceritli, Andrew P. Creagh, David A. Clifton:
Mixture of Input-Output Hidden Markov Models for Heterogeneous Disease Progression Modeling. 41-53 - Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz:
Accurate Calibration of Agent-based Epidemiological Models with Neural Network Surrogates. 54-62 - Jayaraman J. Thiagarajan, Rushil Anirudh, Peer-Timo Bremer, Timothy C. Germann, Sara Y. Del Valle, Frederick H. Streitz:
Machine Learning-Powered Mitigation Policy Optimization in Epidemiological Models. 63-72 - Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun:
Real-time and Explainable Detection of Epidemics with Global News Data. 73-90 - Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon:
Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks. 91-99 - Dominic Phillips, Hans-Christof Gasser, Sebesyén Kamp, Aleksander Palkowski, Lukasz Rabalski, Diego A. Oyarzún, Ajitha Rajan, Javier Antonio Alfaro:
Generating Immune-aware SARS-CoV-2 Spike Proteins for Universal Vaccine Design. 100-116 - Shaina Raza, Brian Schwartz:
Detecting Biomedical Named Entities in COVID-19 Texts. 117-126 - João Marcos Cardoso da Silva, Pedro Martelleto Bressane Rezende, Moacir Antonelli Ponti:
Detecting and mitigating issues in image-based COVID-19 diagnosis. 127-135 - Yuzhuo Ren, Braeden Syrnyk, Niranjan Avadhanam:
Improving Video-based Heart Rate and Respiratory Rate Estimation via Pulse-Respiration Quotient. 136-145 - Qingzhong Liu, Zhongxue Chen, Henry C. Liu:
A Comparison Study to Detect COVID-19 Chest X-Ray Images with SOTA Deep Learning Models. 146-153
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