Juexiao Zhou
Orcid: 0000-0002-6739-6236
According to our database1,
Juexiao Zhou
authored at least 20 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
CoRR, October, 2025
Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow.
CoRR, June, 2025
Nat. Comput. Sci., May, 2025
2024
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI.
Comput. Biol. Medicine, February, 2024
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering.
CoRR, 2024
CoRR, 2024
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy.
CoRR, 2024
KaryoXpert: An accurate chromosome segmentation and classification framework for karyotyping analysis without training with manually labeled metaphase-image mask annotations.
Comput. Biol. Medicine, 2024
HELM-GPT: <i>de novo</i> macrocyclic peptide design using generative pre-trained transformer.
Bioinform., 2024
2023
AB-Gen: Antibody Library Design with Generative Pre-Trained Transformer and Deep Reinforcement Learning.
Genom. Proteom. Bioinform., 2023
CoRR, 2023
CoRR, 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare.
CoRR, 2023
2022
Annotating TSSs in Multiple Cell Types Based on DNA Sequence and RNA-seq Data via DeeReCT-TSS.
Genom. Proteom. Bioinform., October, 2022
SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information.
Bioinform., October, 2022
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors.
Nat. Mach. Intell., 2022
DeeReCT-APA: Prediction of Alternative Polyadenylation Site Usage Through Deep Learning.
Genom. Proteom. Bioinform., 2022
2020
A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis.
IEEE Trans. Medical Imaging, 2020
Automatic and Interpretable Model for Periodontitis Diagnosis in Panoramic Radiographs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020