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UNeXt: MLP-Based Rapid Medical Image Segmentation Network

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.23-33

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Diffusion Models for Medical Anomaly Detection

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.35-45

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Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.431-441

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A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.162-172

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Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-training

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.679-689

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Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.705-714

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Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.34-43

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Diffusion Deformable Model for 4D Temporal Medical Image Generation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.539-548

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mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.107-117

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Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.528-538

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NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.140-150

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Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022-09, p.639-652

2022

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XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.217-226

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TBraTS: Trusted Brain Tumor Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.503-513

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Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.655-664

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DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.24-34

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PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.235-244

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Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.401-411

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Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.623-633

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Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.375-385

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Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.78-87

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Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT)

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, 2022, p.556-566

2022

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Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.686-696

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iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.464-474

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Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.192-201

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UNeXt: MLP-Based Rapid Medical Image Segmentation Network

Diffusion Models for Medical Anomaly Detection

Neural Rendering for Stereo 3D Reconstruction of Deformable Tissues in Robotic Surgery

A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-training

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Diffusion Deformable Model for 4D Temporal Medical Image Generation

mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation

Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation

Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation

XMorpher: Full Transformer for Deformable Medical Image Registration via Cross Attention

TBraTS: Trusted Brain Tumor Segmentation

Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction

DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification

PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation

Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Swin-VoxelMorph: A Symmetric Unsupervised Learning Model for Deformable Medical Image Registration Using Swin Transformer

Self-supervised 3D Anatomy Segmentation Using Self-distilled Masked Image Transformer (SMIT)

Learning-Based and Unrolled Motion-Compensated Reconstruction for Cardiac MR CINE Imaging

iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images

Gigapixel Whole-Slide Images Classification Using Locally Supervised Learning

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