Poster Sessions

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

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

P-47: GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis

P-48: Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder

P-49: LMT: Longitudinal Mixing Training a Framework for the Prediction of Disease Progression Using a Single Image

P-50: Identifying Alzheimer's Disease-induced Topology Alterations in Structural Networks using Convolutional Neural Networks

P-51: Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI

P-52: 3D Transformer Based on Deformable Patch Location for Differential Diagnosis Between Alzheimer’s Disease and Frontotemporal Dementia

P-53: Consisaug: A Consistency-based Augmentation for Polyp Detection in Endoscopy Image Analysis

P-54: Cross-view Contrastive Mutual Learning across Masked Autoencoders for Mammography Diagnosis

P-55: Modeling Life-span Brain Age from Large-scale Dataset based on Multi-level Information Fusion

P-56: Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces

P-57: FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation

P-58: Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping

P-59: Consistency Loss for Improved Colonoscopy Landmark Detection with Vision Transformers

P-60: Radiomics Boosts Deep Learning Model for IPMN Classification

P-61: Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection

P-62: Enhancing Anomaly Detection in Melanoma Diagnosis through Self-Supervised Training and Lesion Comparison

P-63: DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network based on Dynamic Brain Connectome for Psychiatric Diagnosis

P-64: Precise localization within the GI tract by combining classification of CNNs and time-series analysis of HMMs

P-65: Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis using Incomplete Multi-Modality Data

P-66: COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism

P-67: MoViT: Memorizing Vision Transformers for Medical Image Analysis

P-68: Fact-Checking of AI-Generated Reports

P-69: Is Visual Explanation with Grad-CAM More Reliability for Deeper Neural Networks? a Case Study with Automatic Pneumothorax Diagnosis

P-70: Group Distributionally Robust Knowledge Distillation

P-71: A Bone Lesion Identification Network (BLIN) in Whole Body CT Images

P-72: Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment

P-73: Data-driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans

P-74: Replica-based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution

P-75: A Multitask Deep Learning Model for Voxel-level Brain Age Estimation

P-76: Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays

P-77: CCMix: Curriculum of Class-wise Mixup for Long-tailed Medical Image Classification

P-78: MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data

P-79: Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation

P-80: Non-Uniform Sampling-Based Breast Cancer Classification

P-81: A Scaled Denoising Attention-based Transformer for Breast Cancer Detection and Classification

P-82: Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes

P-83: Delving into Ipsilateral Mammogram Assessment under Multi-View Network

P-84: ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance

P-85: Normative Aging for an Individual’s Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration

P-86: Deep Bayesian Quantization for Supervised Neuroimage Search

P-87: Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis

P-88: Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers

P-89: Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning

P-90: RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification

P-91: Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon

P-92: NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images

P-93: Regionalized Infant Brain Cortical Development Based on Multi-view, High-level fMRI Fingerprint