Ziyuan Zhao
16 SlideShares
Personal Information
Profession
Senior Research Engineer
Secteur d’activité
Technology / Software / Internet
Site Web
jacobzhaoziyuan.github.io/
À propos
A research engineer with extensive experience in deep learning, computer vision, medical imaging, etc. Currently carrying out several AI projects on biomedical informatics and medical imaging. Have published over 20 papers in leading journals and international conferences on AI healthcare fields, such as IEEE TMI, IEEE J-BHI, MICCAI, IJCAI, ICIP, ICME, BHI, EMBC, and ACM MM.
Mots-clés
medical image analysis computer vision icip miccai segmentation object detection medical imaging embc bioinformatics ijcai ai healthcare ppi prediction point cloud meta-learning medical mage analysis acm mm multimedia age estimation icme dr grading
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Présentations

(14)
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[MICCAI 2021 - Poster] MT-UDA: Towards unsupervised cross-modality medical image segmentation with limited source labels

il y a 1 an • 142 Vues

[ICIP 2020] SEA-Net: Squeeze-and-Excitation Attention Net for Diabetic Retinopathy Grading

il y a 1 an • 33 Vues

[EMBC 2021] Multi Slice Dense Sparse Learning for Efficient Liver and Tumor Segmentation

il y a 1 an • 26 Vues

[EMBC 2021] Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation

il y a 1 an • 40 Vues

[MICCAI 2021] MT-UDA: Towards unsupervised cross-modality medical image segmentation with limited source labels

il y a 1 an • 16 Vues

[ICME 2022] Adaptive Mean-Residue Loss for Robust Facial Age Estimation

il y a 1 an • 20 Vues

[EMBC 2022] Self-supervised Assisted Active Learning for Skin Lesion Segmentation

il y a 1 an • 97 Vues

[MICCAI 2022] Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation

il y a 1 an • 130 Vues

[ICIP 2022 - Poster] MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation

il y a 1 an • 8 Vues

[ICIP 2022] MMGL: Multi-Scale Multi-View Global-Local Contrastive learning for Semi-supervised Cardiac Image Segmentation

il y a 1 an • 70 Vues

[ICIP 2022] ACT-NET: Asymmetric Co-Teacher Network for Semi-Supervised Memory-Efficient Medical Image Segmentation

il y a 1 an • 51 Vues

[BMVC 2022] DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection

il y a 1 an • 95 Vues

[BMVC 2022 - Spotlight] DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection

il y a 1 an • 30 Vues

[IJCAI 2023] SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction

il y a 8 mois • 32 Vues

Documents

(2)

[IAIM 2023 - Poster] Label-efficient Generalizable Deep Learning for Medical Image Segmentation

il y a 8 mois • 34 Vues

[IJCAI 2023 - Poster] SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction

il y a 8 mois • 88 Vues
Personal Information
Profession
Senior Research Engineer
Secteur d’activité
Technology / Software / Internet
Site Web
jacobzhaoziyuan.github.io/
À propos
A research engineer with extensive experience in deep learning, computer vision, medical imaging, etc. Currently carrying out several AI projects on biomedical informatics and medical imaging. Have published over 20 papers in leading journals and international conferences on AI healthcare fields, such as IEEE TMI, IEEE J-BHI, MICCAI, IJCAI, ICIP, ICME, BHI, EMBC, and ACM MM.
Mots-clés
medical image analysis computer vision icip miccai segmentation object detection medical imaging embc bioinformatics ijcai ai healthcare ppi prediction point cloud meta-learning medical mage analysis acm mm multimedia age estimation icme dr grading
Tout plus