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FusionNet: A Frame Interpolation Network for 4D Heart Models

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, 2023, p.35-44

2023

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Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.241-252

Volltextzugriff (PDF)

Oligodendrocytes: Development, Physiology and Glucose Metabolism

The Glutamate/GABA-Glutamine Cycle, 2016, Vol.13, p.275-294

2016

Volltextzugriff (PDF)

SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.368-377

Volltextzugriff (PDF)

BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.182-192

Volltextzugriff (PDF)

Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.311-321

Volltextzugriff (PDF)

RPTK: The Role of Feature Computation on Prediction Performance

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.113-122

Volltextzugriff (PDF)

Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.157-167

Volltextzugriff (PDF)

Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.336-346

Volltextzugriff (PDF)

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.168-181

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Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.205-213

Volltextzugriff (PDF)

A Two-Species Model for Abnormal Tau Dynamics in Alzheimer’s Disease

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.69-79

Volltextzugriff (PDF)

Hessian-Based Similarity Metric for Multimodal Medical Image Registration

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.253-264

Volltextzugriff (PDF)

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.347-356

Volltextzugriff (PDF)

Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.286-298

Volltextzugriff (PDF)

Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, 2024, p.227-240

2024

Volltextzugriff (PDF)

MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.24-34

Volltextzugriff (PDF)

Operating Critical Machine Learning Models in Resource Constrained Regimes

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.325-335

Volltextzugriff (PDF)

Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.299-310

Volltextzugriff (PDF)

Query Re-Training for Modality-Gnostic Incomplete Multi-modal Brain Tumor Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.135-146

Volltextzugriff (PDF)

Outlier Robust Disease Classification via Stochastic Confidence Network

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.80-90

Volltextzugriff (PDF)

Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.91-99

Volltextzugriff (PDF)

MAD: Modality Agnostic Distance Measure for Image Registration

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.147-156

Volltextzugriff (PDF)

MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.276-285

Volltextzugriff (PDF)

Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.3-13

Volltextzugriff (PDF)

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FusionNet: A Frame Interpolation Network for 4D Heart Models

Noisy-Consistent Pseudo Labeling Model for Semi-supervised Skin Lesion Classification

Oligodendrocytes: Development, Physiology and Glucose Metabolism

SAM-U: Multi-box Prompts Triggered Uncertainty Estimation for Reliable SAM in Medical Image

BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images

Leveraging Contrastive Learning with SimSiam for the Classification of Primary and Secondary Liver Cancers

RPTK: The Role of Feature Computation on Prediction Performance

Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI

Data Efficiency of Segment Anything Model for Optic Disc and Cup Segmentation

Modality Cycles with Masked Conditional Diffusion for Unsupervised Anomaly Segmentation in MRI

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis

A Two-Species Model for Abnormal Tau Dynamics in Alzheimer’s Disease

Hessian-Based Similarity Metric for Multimodal Medical Image Registration

Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification

Groupwise Image Registration with Atlas of Multiple Resolutions Refined at Test Phase

Identifying Shared Neuroanatomic Architecture Between Cognitive Traits Through Multiscale Morphometric Correlation Analysis

MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction

Operating Critical Machine Learning Models in Resource Constrained Regimes

Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification

Query Re-Training for Modality-Gnostic Incomplete Multi-modal Brain Tumor Segmentation

Outlier Robust Disease Classification via Stochastic Confidence Network

Efficient Registration of Longitudinal Studies for Follow-Up Lesion Assessment by Exploiting Redundancy and Composition of Deformations

MAD: Modality Agnostic Distance Measure for Image Registration

MuST: Multimodal Spatiotemporal Graph-Transformer for Hospital Readmission Prediction

Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer

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