Poster Session 1

P1 - P46

13:30 - 14:15

P-1: Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation

P-2: Cross-Domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Cardiac SPECT

P-3: Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion

P-4: Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network

P-5: Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior

P-6: SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap

P-7: unORANIC: Unsupervised orthogonalization of anatomy and image-characteristic features

P-8: An Investigation of Different Deep Learning Pipelines for GABA-edited MRS Reconstruction

P-9: Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs

P-10: Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer’s Disease via 3D Multimodal Contrastive GAN

P-11: Accelerated MRI Reconstruction via Dynamic Deformable Alignment based Transformer

P-12: Deformable Cross-Attention Transformer for Medical Image Registration

P-13: Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization

P-14: Implicitly solved regularization for learning-based image registration

P-15: BHSD: A 3D Brain Hemorrhage Segmentation Dataset

P-16: Contrastive Learning-based Breast Tumor Segmentation in DCE-MRI

P-17: FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation

P-18: Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms

P-19: Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance

P-20: Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation

P-21: Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers

P-22: Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images

P-23: SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation

P-24: Automated Coarse-to-fine Segmentation of Thoracic Duct using Anatomy Priors and Topology-guided Curved Planar Reformation

P-25: Leveraging Self-Attention Mechanism in Vision Transformers for Unsupervised Segmentation of Optical Coherence Microscopy White Matter Images

P-26: PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation

P-27: A Super Token Vision Transformer and CNN Parallel Branch Network for mCNV Lesion Segmentation in OCT Images

P-28: Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images

P-29: A Domain-free Semi-supervised Method for Myocardium Segmentation in 2D Echocardiography Sequences

P-30: Self-Training with Domain-mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks

P-31: Bridging the Task Barriers: Online Knowledge Distillation Across Tasks for Semi-Supervised Mediastinal Segmentation in CT

P-32: Relational UNet for Image Segmentation

P-33: Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data

P-34: Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-Scale Cancer Information

P-35: Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-Scale Dependency Modeling

P-36: MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities

P-37: Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model

P-38: IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease Prediction

P-39: Multi-Modal Adapter for Medical Vision-and-Language Learning

P-40: Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation

P-41: Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting

P-42: Dual-stream model with brain metrics and images for MRI-based fetal brain age estimation

P-43: PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis

P-44: Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy

P-46: Tailoring Large Language Models to Radiology: A preliminary approach to LLM adaptation for a highly specialized domain

P-1: Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation

P-2: Cross-Domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Cardiac SPECT

P-3: Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion

Poster-017.mp4

Poster-015.pdf

P-4: Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network

Poster-026.mp4

Poster-026.pdf

P-5: Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior

Poster-042.mp4

Poster-042.pdf

P-6: SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap

Poster-062.mp4

Poster-062.pdf

P-7: unORANIC: Unsupervised orthogonalization of anatomy and image-characteristic features

Poster-084.mp4

Poster-084.pdf

P-8: An Investigation of Different Deep Learning Pipelines for GABA-edited MRS Reconstruction

Poster-122.mp4

Poster-122.pdf

P-9: Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs

Poster-125.mp4

Poster-125.pdf

P-10: Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer’s Disease via 3D Multimodal Contrastive GAN

Poster-152.mp4

Poster-152.pdf

P-11: Accelerated MRI Reconstruction via Dynamic Deformable Alignment based Transformer

Poster-163.mp4

Poster-163.pdf

P-12: Deformable Cross-Attention Transformer for Medical Image Registration

Oral-022.mp4

Oral-022.pdf

P-13: Deformable Medical Image Registration Under Distribution Shifts with Neural Instance Optimization

Oral-048.mp4

Oral-048.pdf

P-14: Implicitly solved regularization for learning-based image registration

Poster-089.m4v

Poster-089.pdf

P-15: BHSD: A 3D Brain Hemorrhage Segmentation Dataset

Poster-018.mov

Poster-018.pdf

P-16: Contrastive Learning-based Breast Tumor Segmentation in DCE-MRI

Poster-019.mp4

Poster-019.pdf

P-17: FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation

Poster-027.mp4

Poster-027.pdf

P-18: Mammo-SAM: Adapting Foundation Segment Anything Model for Automatic Breast Mass Segmentation in Whole Mammograms

Poster-038.mp4

Poster-038.pdf

P-19: Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance

Oral-049.mp4

Oral-049.pdf

P-20: Unifying and Personalizing Weakly-supervised Federated Medical Image Segmentation via Adaptive Representation and Aggregation

Poster-054.mp4

Poster-054.pdf

P-21: Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers

Poster-057.mp4

Poster-057.pdf

P-22: Prostate Segmentation Using Multiparametric and Multiplanar Magnetic Resonance Images

Poster-074.mp4

Poster-074.pdf

P-23: SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation

Poster-082.mp4

Poster-082.pdf

P-24: Automated Coarse-to-fine Segmentation of Thoracic Duct using Anatomy Priors and Topology-guided Curved Planar Reformation

P-25: Leveraging Self-Attention Mechanism in Vision Transformers for Unsupervised Segmentation of Optical Coherence Microscopy White Matter Images

Poster-085.mp4

Poster-085.pdf

P-26: PE-MED: Prompt Enhancement for Interactive Medical Image Segmentation

Poster-087.mp4

Poster-087.pdf

P-27: A Super Token Vision Transformer and CNN Parallel Branch Network for mCNV Lesion Segmentation in OCT Images

Poster-096.pdf

P-28: Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images

Poster-100.mp4

Poster-100.pdf

P-29: A Domain-free Semi-supervised Method for Myocardium Segmentation in 2D Echocardiography Sequences

Poster-106.mp4

Poster-106.pdf

P-30: Self-Training with Domain-mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks

Poster-115.mp4

Poster-115.pdf

P-31: Bridging the Task Barriers: Online Knowledge Distillation Across Tasks for Semi-Supervised Mediastinal Segmentation in CT

Oral-117.mp4

Oral-117.pdf

P-32: Relational UNet for Image Segmentation

Poster-126.mp4

Poster-126.pdf

P-33: Interpretability-guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data

Poster-134.mp4

Poster-134.pdf

P-34: Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-Scale Cancer Information

Poster-141.mp4

Poster-141.pdf

P-35: Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-Scale Dependency Modeling

Poster-143.mp4

Poster-143.pdf

P-36: MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities

Poster-144.mp4

Poster-144.pdf

P-37: Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model

Oral-160.mp4

Oral-160.pdf

P-38: IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease Prediction

P-39: Multi-Modal Adapter for Medical Vision-and-Language Learning

Poster-069.mp4

Poster-069.pdf

P-40: Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation

Poster-072.mp4

Poster-072.pdf

P-41: Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting

Poster-092.mp4

Poster-092.pdf

P-42: Dual-stream model with brain metrics and images for MRI-based fetal brain age estimation

Poster-102.mp4

Poster-102.pdf

P-43: PECon: Contrastive Pretraining to Enhance Feature Alignment between CT and EHR Data for Improved Pulmonary Embolism Diagnosis

Poster-109.mp4

Poster-109.pdf

P-44: Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy

Poster-129.mp4

Poster-129.pdf

P-45: More From Less: Self-Supervised Knowledge Distillation for Routine Histopathology Data

Poster-135.pdf

P-46: Tailoring Large Language Models to Radiology: A preliminary approach to LLM adaptation for a highly specialized domain

Oral-158.pdf

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