Junlin Hou

Orcid: 0000-0002-7989-5913

According to our database1, Junlin Hou authored at least 28 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images.
Patterns, March, 2024

Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis.
CoRR, 2024

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.
CoRR, 2024

MOSMOS: Multi-organ segmentation facilitated by medical report supervision.
CoRR, 2024

QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis.
CoRR, 2024

Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cross-Image Distillation for Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Domain Adaptation Using Pseudo Labels for COVID-19 Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Retrieval-Augmented Egocentric Video Captioning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Advancing COVID-19 Detection in 3D CT Scans.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images.
CoRR, 2023

Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation.
Proceedings of the Myopic Maculopathy Analysis, 2023

Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification.
Proceedings of the Myopic Maculopathy Analysis, 2023

Diabetic Retinopathy Grading with Weakly-Supervised Lesion Priors.
Proceedings of the IEEE International Conference on Acoustics, 2023

Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
CMC v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors.
CoRR, 2022

FDVTS's Solution for 2nd COV19D Competition on COVID-19 Detection and Severity Analysis.
CoRR, 2022

Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images.
Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

Boosting COVID-19 Severity Detection with Infection-Aware Contrastive Mixup Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Periphery-aware COVID-19 diagnosis with contrastive representation enhancement.
Pattern Recognit., 2021

Exploiting Deep Cross-Slice Features From CT Images For Multi-Class Pneumonia Classification.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Semi-supervised Medical Image Segmentation with Distribution Calibration and Non-local Semantic Constraint.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Fuzzy Graph Neural Network for Few-Shot Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Data-Efficient Histopathology Image Analysis with Deformation Representation Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020


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