Medical image segmentation, MRI, lesion detection... What are the top conference papers worth reading in "AI+Medical" recently? ...

I have sorted out 114 medical papers in the past year, and the summary is as follows. If you are interested, you can add my WeChat to get it.

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1. CVPR2022-2023 medical imaging papers

1. CVPR 2023 Medical Imaging Papers

[01] Marker-free liver tumor segmentation

[Title]Label-Free Liver Tumor Segmentation

[02] Deep Feature Liners for Unsupervised Anomaly Detection in X-ray Images

[Title]Deep Feature In-painting for Unsupervised Anomaly Detection in X-ray Images

[03]Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses[Title]Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses

[04] Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis [Title] Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis

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2. CVPR 2023 Medical Imaging Papers

01 Generalizable Cross-Modal Medical Image Segmentation via Style Augmentation and Dual Normalization

[Title]Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization

02 Anti-Course Pseudo-Labels for Semi-Supervised Medical Image Classification

[Title]ACPL Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification

03 Multi-Instance Learning with Two-Layer Feature Distillation for Histopathology Whole-Slide Image Classification

[Title]DTFD-MIL Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

04 Robust isomorphic imaging: a fully unsupervised framework for learning to image from noise and partial measurements

[Title]Robust Equivariant Imaging a fully unsupervised framework for learning to image from noisy and partial measurements Transformer

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2. Medical imaging review 

[1] Survey of Deep Learning Methods in Computational Cytology

[Title]Deep Learning for Computational Cytology: A Survey [Cite]Medical Image Analysis (2022)

[2] A comparative review of the key attributes, current progress, and future prospects of Transformer applied to medical imaging

[Title]A comparative review of key properties, current progresses, and future perspectives 

[Cite]Medical Image Analysis (2023)

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2. Medical image segmentation

[1] Personalized Joint Medical Image Segmentation via Local Calibration

[Title]Personalizing Federated Medical Image Segmentation via Local Calibration

[Cite]ECCV 2022

 [2] Learning Topological Interactions for Multi-Class Medical Image Segmentation

[Title]Learning Topological Interactions for Multi-Class Medical Image Segmentation

[Cite]ECCV 2022 

 [3] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration [Title] Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration 

[Cite]ECCV 2022 

3. Radiology report generation 

[01] Cross-modal prototype-driven network for radiology report generation 

[Title]Cross-modal Prototype Driven Network for Radiology Report Generation

[Cite]ECCV 2022

4. Dense prediction

[01] ConCL: Contrastive Concept Learning for Pathological Image Dense Prediction Pre-training

[Title]ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images

[Cite]ECCV 2022 

 5. Retinal Image Matching  [01] Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

[Title]Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

[Cite]ECCV 2022

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6. Stent Tracking  [01] Robust landmark-based stent tracking in X-ray fluoroscopy

[Title]Robust Landmark-based Stent Tracking in X-ray Fluoroscopy 

[Cite]ECCV 2022 

7. Lesion detection  [01] Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection [Title] Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection 

[Cite]ECCV 2022 

8. Medical image analysis

[01] UniMiSS: Realizing General Medical Self-Supervised Learning by Breaking Dimensional Barriers

[Title]UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier

[Cite]ECCV 2022

[02]K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment [Title]K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment [Cite]ECCV 2022 

9. Medical Image Classification

[01] Differential Scaling for Multi-Instance Learning of Whole Slide Images 

[Title]Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images

[Cite]ECCV 2022 

[02] RadioTransformer: A Cascaded Global Focus Transformer for Visual Attention-Guided Disease Classification 

[Title]RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification 

[Cite]ECCV 2022

10. Positioning of medical key points

[01] One-shot medical landmark localization via edge-guided transformation and noisy landmark refinement

[Title]One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement 

[Cite]ECCV 2022 

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11. Medical image registration

[01] Affine medical image registration using a coarse-to-fine visual transformer 

[Title]Affine Medical Image Registration with Coarse-to-Fine Vision Transformer 

[Cite]CVPR 2022

 12. Medical image processing 

[01] BoostMIS: Boosting semi-supervised learning of medical images through adaptive pseudo-labeling and informative active annotation

[Title]BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation [Cite]CVPR 2022 

[02] Robust isomorphic imaging: a fully unsupervised framework for learning imaging from noise and partial measurements

[Title]Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements [Cite]CVPR 2022

13、MRI 

[01] Transformer-enabled multi-scale context matching and aggregation for multi-contrast MRI super-resolution

[Title]Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution

[Cite]CVPR 2022

[02] Vox2Cortex: Rapid and explicit reconstruction of cortical surfaces from 3D MRI scans using geometric deep neural networks 

[Title]Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks

[Cite]CVPR 2022 

14. Histopathology

[01]Cross-Patch Dense Contrastive Learning for Semi-Supervised Segmentation of Cellular Nuclei in Histopathologic Images [Cite]CVPR 2022 

15. Teeth

[01] Improved Inferior Alveolar Nerve Segmentation via Depth Label Propagation

[Title]Improving Segmentation of the Inferior Alveolar Nerve Through Deep Label Propagation 

[Cite]CVPR 2022

 [02] DArch: Dental Arch Prior Aided 3D Tooth Instance Segmentation with Weak Annotations

[Title]DArch: Dental Arch Prior-Assisted 3D Tooth Instance Segmentation With Weak Annotations 

[Cite]CVPR 2022

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Origin blog.csdn.net/c9Yv2cf9I06K2A9E/article/details/131297636