UB Paderborn / Katalog / Suche / in CDI

Singular solutions of the cubic Schrödinger equation

Integrable Systems and Applications, 2005, p.207-217

2005

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Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2023, p.649-659

2023

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Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, p.101-110

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An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.69-78

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SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.161-170

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Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.225-233

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Evidence-Driven Differential Diagnosis of Malignant Melanoma

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.57-66

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ViTBIS: Vision Transformer for Biomedical Image Segmentation

Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, p.34-45

Sagar, Abhinav

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SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.234-244

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CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.275-284

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ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

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

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Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.47-56

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MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities

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

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Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.334-346

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Test-Time Selection for Robust Skin Lesion Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.37-46

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Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.265-274

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SplitFed Resilience to Packet Loss: Where to Split, that is the Question

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.367-377

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Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.213-224

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FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction

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

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Multi-task Cooperative Learning via Searching for Flat Minima

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.171-181

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DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.297-310

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Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.79-88

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GPC: Generative and General Pathology Image Classifier

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.203-212

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Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.14-24

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Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.107-116

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Einstellungen

Singular solutions of the cubic Schrödinger equation

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease

SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology

Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification

Evidence-Driven Differential Diagnosis of Malignant Melanoma

ViTBIS: Vision Transformer for Biomedical Image Segmentation

SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data

Global and Local Explanations for Skin Cancer Diagnosis Using Prototypes

MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities

Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification

Test-Time Selection for Robust Skin Lesion Analysis

Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders

SplitFed Resilience to Packet Loss: Where to Split, that is the Question

Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation

FedAutoMRI: Federated Neural Architecture Search for MR Image Reconstruction

Multi-task Cooperative Learning via Searching for Flat Minima

DISBELIEVE: Distance Between Client Models Is Very Essential for Effective Local Model Poisoning Attacks

Generating Chinese Radiology Reports from X-Ray Images: A Public Dataset and an X-ray-to-Reports Generation Method

GPC: Generative and General Pathology Image Classifier

Communication-Efficient Federated Skin Lesion Classification with Generalizable Dataset Distillation

Multimodal Learning for Improving Performance and Explainability of Chest X-Ray Classification

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