Papers
378 papers found
Towards multi-sequence MR image recovery from undersampled k-space data
Cheng Peng, Wei-An Lin, Rama Chellappa et al.
Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain
Ahmed E. Fetit, John Cupitt, Turkay Kart et al.
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation
Yukun Ding, Jinglan Liu, Xiaowei Xu et al.
Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement
Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni
Understanding Alzheimer disease’s structural connectivity through explainable AI
Achraf Essemlali, Etienne St-Onge, Maxime Descoteaux et al.
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning
Max-Heinrich Laves, Sontje Ihler, Jacob F. Fast et al.
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala et al.
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction
Roberto Souza, R. Marc Lebel, Richard Frayne
AnatomyGen: Deep Anatomy Generation From Dense Representation With Applications in Mandible Synthesis
Amir H. Abdi, Heather Borgard, Purang Abolmaesumi et al.
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps
Huu-Giao Nguyen, Alessia Pica, Jan Hrbacek et al.
Assessing Knee OA Severity with CNN attention-based end-to-end architectures
Marc Górriz, Joseph Antony, Kevin McGuinness et al.
Boundary loss for highly unbalanced segmentation
Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers et al.
Capturing Single-Cell Phenotypic Variation via Unsupervised Representation Learning
Maxime W. Lafarge, Juan C. Caicedo, Anne E. Carpenter et al.
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data
Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang et al.
Cluster Analysis in Latent Space: Identifying Personalized Aortic Valve Prosthesis Shapes using Deep Representations
Jannis Hagenah, Kenneth Kühl, Michael Scharfschwerdt et al.
DavinciGAN: Unpaired Surgical Instrument Translation for Data Augmentation
Kyungmoon Lee, Min-Kook Choi, Heechul Jung
Deep Hierarchical Multi-label Classification of Chest X-ray Images
Haomin Chen, Shun Miao, Daguang Xu et al.
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth
Farhad Ghazvinian Zanjani, David Anssari Moin, Bas Verheij et al.
Deep Reinforcement Learning for Subpixel Neural Tracking
Tianhong Dai, Magda Dubois, Kai Arulkumaran et al.
Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography
Bart Liefers, Cristina González-Gonzalo, Caroline Klaver et al.
Digitally Stained Confocal Microscopy through Deep Learning
Marc Combalia, Javiera Pérez-Anker, Adriana García-Herrera et al.
Dynamic MRI Reconstruction with Motion-Guided Network
Qiaoying Huang, Dong Yang, Hui Qu et al.
Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs
Tanja Lossau (née Elss), Hannes Nickisch, Tobias Wissel et al.
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation
Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield et al.