Jiechao Ma

Orcid: 0000-0001-6502-4140

According to our database1, Jiechao Ma authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training.
Neurocomputing, April, 2023

Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases.
npj Digit. Medicine, 2022

2021
CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Analysis of Different Encoder-decoder-based Approaches for Biomedical Imaging Segmentation.
Proceedings of the ICRAI 2020: 6th International Conference on Robotics and Artificial Intelligence, 2020

Cross-View Relation Networks for Mammogram Mass Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks.
CoRR, 2019

Automatic Calcium Scoring in Cardiac and Chest CT Using DenseRAUnet.
CoRR, 2019

Delving Deep into Liver Focal Lesion Detection: A Preliminary Study.
CoRR, 2019

Cross-view Relation Networks for Mammogram Mass Detection.
CoRR, 2019

Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks.
Proceedings of the Image and Graphics - 10th International Conference, 2019


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