Papers
MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics
Junchao Zhu, Ruining Deng, Tianyuan Yao et al.
Point-Based Shape Representation Generation with a Correspondence-Preserving Diffusion Model
Shen Zhu, Yinzhu Jin, Ifrah Zawar et al.
SurgicalSemiSeg: A Semi-Supervised Framework for Laparoscopic Image Segmentation
Yuning Zhou, Henry Badgery, Matthew Read et al.
4D-VQ-GAN: A World Model for Synthesizing Medical Scans at Any Time Point for Personalized Disease Progression Modeling of Idiopathic Pulmonary Fibrosis
An Zhao, Moucheng Xu, Ahmed H. Shahin et al.
Anatomy-Guided Surface Diffusion Model for Alzheimer’s Disease Normative Modeling
Jianwei Zhang, Yonggang Shi
MedCL: Learn Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
Ke Zhang, Vishal M. Patel
SSDD-GAN: Single-Step Denoising Diffusion GAN for Cochlear Implant Surgical Scene Completion
Yike Zhang, Eduardo Davalos, Jack Noble
How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?
Yixin Zhang, Kevin Kramer, Maciej A Mazurowski
A Novel GNN Framework Integrating Neuroimaging and Behavioral Information to Understand Adolescent Psychiatric Disorders
Weifeng Yu, Gang Qu, Young-geun Kim et al.
Joint Supervised and Self-supervised Learning for MRI Reconstruction
George Yiasemis, Nikita Moriakov, Clara I. Sánchez et al.
LiFE-Net: Longitudinal information Fusion for Enhanced lesion detection in unsupervised learning contexts
Walid Yassine, Martin Charachon, Celine Hudelot et al.
LOTUS: Latent Outpainting Diffusion Model for Three-Dimensional Ultrasound Stitching
Xing Yao, Runxuan Yu, Nick DiSanto et al.
Improving brain disorder diagnosis with advanced brain function representation and Kolmogorov-Arnold Networks
Tyler Ward, Abdullah Al Zubaer Imran
Predicting Prostate Cancer Progression During Active Surveillance Using Longitudinal bpMRI Scans and A Multi-scale Foundation Model
Yifan Wang, Bin Lou, Heinrich von Busch et al.
STNAGNN: Data-driven Spatio-temporal Brain Connectivity beyond FC
Jiyao Wang, Nicha C Dvornek, Peiyu Duan et al.
Neural fields for tissue attenuation curve reconstruction in sparsely sampled time-resolved CT
Lucas de Vries, Rudolf Leonardus Mirjam van Herten, P. Matthijs van der Sluijs et al.
Evaluating Shortcut Utilization in Deep Learning Disease Classification through Counterfactual Analysis
Vibujithan Vigneshwaran, Emma A.M. Stanley, Raissa Souza et al.
Cardiac Computed Tomography Angiography Plane Prediction and Comprehensive LV Segmentation
Davis Marc Vigneault, Ashish Manohar, Abraham Hernandez et al.
Enhancing Wrist Fracture Detection through LLM-Powered Data Extraction and Knowledge-Based Ensemble Learning
Serge Didenko Vasylechko, Andy Tsai, Onur Afacan et al.
MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
Maya Varma, Ashwin Kumar, Rogier van der Sluijs et al.
Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation
Mei Vaish, Felix Meister, Tobias Heimann et al.
Effective Disjoint Representational Learning for Anatomical Segmentation
Priya Tomar, Aditya Parikh, Philipp Feodorovici et al.
Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging
Carolin Teuber, Anwai Archit, Constantin Pape
DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention
Xiaoya Tang, Bodong Zhang, Man M. Ho et al.
Mesh-Prompted Anatomy Segmentation
Dingjie Su, Yihao Liu, Lianrui Zuo et al.