Jinzheng Cai

According to our database1, Jinzheng Cai authored at least 31 papers between 2016 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Medical Image Anal., 2020

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR, 2020

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation.
CoRR, 2020

Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression.
CoRR, 2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.
CoRR, 2020

Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR, 2020

Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets.
CoRR, 2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.
CoRR, 2020

Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation.
CoRR, 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans.
CoRR, 2020

Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
CoRR, 2020

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Chromosome Segmentation via Data Simulation and Shape Learning.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Texture analysis for muscular dystrophy classification in MRI with improved class activation mapping.
Pattern Recognit., 2019

Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.
Medical Image Anal., 2019

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Self-learning for face clustering.
Pattern Recognit., 2018

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning.
CoRR, 2018

Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.
CoRR, 2018

CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Improving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function.
CoRR, 2017

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Transfer Shape Modeling Towards High-Throughput Microscopy Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Kernel-Based Supervised Discrete Hashing for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2016, 2016


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