Papers
378 papers found
Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI
Finn Behrendt, Debayan Bhattacharya, Julia Krüger et al.
Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI
Gony Rosenman, Itzik Malkiel, Ayam Greental et al.
Prior Guided 3D Medical Image Landmark Localization
Yijie Pang, Pujin Cheng, Junyan Lyu et al.
Radiology Reports Improve Visual Representations Learned from Radiographs
Haoxu Huang, Samyak Rawlekar, Sumit Chopra et al.
Reference-based MRI Reconstruction Using Texture Transformer
Pengfei Guo, Vishal M. Patel
Reproducibility of the Methods in Medical Imaging with Deep Learning.
Attila Simkó, Anders Garpebring, Joakim Jonsson et al.
Reproducibility of Training Deep Learning Models for Medical Image Analysis
Joeran Sander Bosma, Dré Peeters, Natália Alves et al.
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images
Nicholas Konz, Maciej A Mazurowski
Robust Detection Outcome: A Metric for Pathology Detection in Medical Images
Felix Meissen, Philip Müller, Georgios Kaissis et al.
Rotation-Scale Equivariant Steerable Filters
Yilong Yang, Srinandan Dasmahapatra, Sasan Mahmoodi
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
Wei Zhu, Runtao Zhou, Yuan Yao et al.
Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
Guangyao Zheng, Samson Zhou, Vladimir Braverman et al.
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses
Jiacheng Wang, Kathleen Larson, Ipek Oguz
Semantic Segmentation of 3D Medical Images Through a Kaleidoscope: Data from the Osteoarthritis Initiative
Boyeong Woo, Marlon Bran Lorenzana, Craig Engstrom et al.
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction
Tianyu Hwang, Chih-Hung Wang, Holger R Roth et al.
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction
NagaGayathri Matcha, Sriprabha Ramanarayanan, Mohammad Al Fahim et al.
Simple and Efficient Confidence Score for Grading Whole Slide Images
Melanie Lubrano, Yaëlle Bellahsen Harrar, Rutger RH Fick et al.
Sparse Activations for Interpretable Disease Grading
Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein et al.
Spatial Correspondence between Graph Neural Network-Segmented Images
Qian Li, Yunguan Fu, Qianye Yang et al.
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes
Jiaqi Guo, Emanuel Azcona, Santiago Lopez-Tapia et al.
ST(OR)$^2$: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room
Idris Hamoud, Muhammad Abdullah Jamal, Vinkle Srivastav et al.
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs
Hanxue Gu, Hongyu He, Roy Colglazier et al.
SVD-DIP: Overcoming the Overfitting Problem in DIP-based CT Reconstruction
Marco Nittscher, Michael Falk Lameter, Riccardo Barbano et al.
Toward Unpaired Multi-modal Medical Image Segmentation via Learning Structured Semantic Consistency
Jie Yang, Ye Zhu, Chaoqun Wang et al.
Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification
Litao Yang, Deval Mehta, Sidong Liu et al.