Papers
Evaluation of 3D Ultrasound Reconstruction and 2D/3D Segmentation for Neonatal Hip Dysplasia Screening
Wiebke Heyer, Katharina Ott, Christian Weihsbach et al.
Impact of uncertainty maps on manual editing of rectal cancer segmentation in radiotherapy
Federica Carmen Maruccio, Rita Simões, Fokie Cnossen et al.
Deep Learning for Liver Disease Stratification: Findings from UKBB MRI
Rami Al-Belmpeisi, Josefine Vilsb ll Sundgaard, Peter Hj rringgaard Larsen et al.
Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data
Satrajit Chakrabarty, Ravi Soni
A Comprehensive Benchmarking and Systematic Analysis of Deep Learning Models for Sonomammogram Segmentation
Malitha Gunawardhana, Norbert Zolek
Multicenter Morphometric Analysis of Stratum Corneum Nanotexture for Skin Barrier Assessment
Jen-Hung Wang, Chia-Yu Chu, Felipe Colombelli et al.
ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges
Roshan Kenia, Xiaoman Zhang, Pranav Rajpurkar
Deep Learning Based Emboli Detection Using Ultrasound Doppler Imaging
Raghava Vinaykanth Mushunuri, Cecilie Le Duc Dahl, Elisabeth Krogstad Iversen et al.
Benchmarking the Reproducibility of Brain Tissue Segmentation Across MRI Scanners
Ekaterina Kondrateva, Abdalla Z Mohamed, Sandzhi Barg et al.
Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty
Giuseppina Carannante, Nidhal C. Bouaynaya, Dimah Dera et al.
CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization
Linkai Peng, Cuiling Sun, Zheyuan Zhang et al.
Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types
Chi-Yu Chen, Rawan Abulibdeh, Arash Asgari et al.
The LUMirage: An independent evaluation of zero-shot performance in the LUMIR challenge
Rohit Jena, Pratik Chaudhari, James Gee
Endo-4DTS: Monocular 4D Scene Synthesis for Endoscopy via Deformable Triangle Splatting
Laura Salort-Benejam, Antonio Agudo
MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images
Felicia Bader, Philipp Seeböck, Anastasia Bartashova et al.
Heteroscedastic Heatmap Regression for Reliable Pectoral Muscle Segmentation in Mammography
Paul Zech, Christian Hümmer, Benjamin El-Zein et al.
A Multi-Scale Inception-UNet with Structure-Aware Evaluation for Branch-Preserving Segmentation of Organoids
Sandra H. Andrusca, Christopher D. Kießling, Andreas R. Bausch
Bridging Classical and Learned Priors: A Hybrid Framework for Medical Image Enhancement
Peeyush Kumar Singh, Sneha Singh
LLaMA32-Med: Parameter-Efficient Adaptation of Multimodal LLMs for Medical Visual Question Answering
Wanqi Dong, Jingze Ge, Wanyue Dong et al.
Revealing and Reducing Morphological Biases Using Implicit Neural Representations for Medical Image Registration
Sofija Engelson, Bennet Kahrs, Timo Kepp et al.
HiPro-CT: A Hierarchical Probabilistic Framework for 3D Medical Vision-Language Alignment
Lin Lu, Zihan Liu, Chaoxiang Tang et al.
A Diffusion-Driven Fine-Grained Nodule Synthesis Framework for Enhanced Lung Nodule Detection from Chest Radiographs
Shreshtha Singh, Aryan Goyal, Ashish Mittal et al.
Expert Branches: Module Diversity for Stronger Feature Learning in Laparoscopic Segmentation
Lin Guo, Chiara Camerota, Mohammad Mahmoud et al.
BrainATCL: Adaptive Temporal Brain Connectivity Learning for Functional Link Prediction and Age Estimation
Yiran Huang, Amirhossein Nouranizadeh, Christine Ahrends et al.
GraphULM: A Multi-Resolution CNN and GCN Framework for Ultrasound Localization Microscopy
Mohammad Sabih, Mohamed Khaled Almekkawy