no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
1 |
Active, continual fine tuning of convolutional neural networks for reducing annotation efforts
|
Zhou, Zongwei |
|
|
71 |
C |
p. |
article |
2 |
A 3D personalized cardiac myocyte aggregate orientation model using MRI data-driven low-rank basis functions
|
Stimm, Johanna |
|
|
71 |
C |
p. |
article |
3 |
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs
|
Gillette, Karli |
|
|
71 |
C |
p. |
article |
4 |
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration
|
Zhou, Bo |
|
|
71 |
C |
p. |
article |
5 |
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review
|
Bai, Jun |
|
|
71 |
C |
p. |
article |
6 |
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurement
|
Lian, Sheng |
|
|
71 |
C |
p. |
article |
7 |
A structural enriched functional network: An application to predict brain cognitive performance
|
Kim, Mansu |
|
|
71 |
C |
p. |
article |
8 |
A survey on active learning and human-in-the-loop deep learning for medical image analysis
|
Budd, Samuel |
|
|
71 |
C |
p. |
article |
9 |
Brain functional connectivity analysis based on multi-graph fusion
|
Gan, Jiangzhang |
|
|
71 |
C |
p. |
article |
10 |
Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity
|
Isallari, Megi |
|
|
71 |
C |
p. |
article |
11 |
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset
|
Signoroni, Alberto |
|
|
71 |
C |
p. |
article |
12 |
CaDIS: Cataract dataset for surgical RGB-image segmentation
|
Grammatikopoulou, Maria |
|
|
71 |
C |
p. |
article |
13 |
Compare and contrast: Detecting mammographic soft-tissue lesions with C 2 -Net
|
Liu, Yuhang |
|
|
71 |
C |
p. |
article |
14 |
Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images
|
Liu, Xinyu |
|
|
71 |
C |
p. |
article |
15 |
Cross-attention multi-branch network for fundus diseases classification using SLO images
|
Xie, Hai |
|
|
71 |
C |
p. |
article |
16 |
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification
|
Goncharov, Mikhail |
|
|
71 |
C |
p. |
article |
17 |
CycleMorph: Cycle consistent unsupervised deformable image registration
|
Kim, Boah |
|
|
71 |
C |
p. |
article |
18 |
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping
|
Slator, Paddy J. |
|
|
71 |
C |
p. |
article |
19 |
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
|
Teuwen, Jonas |
|
|
71 |
C |
p. |
article |
20 |
Deep metric learning for otitis media classification
|
Sundgaard, Josefine Vilsbøll |
|
|
71 |
C |
p. |
article |
21 |
Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping
|
Hann, Evan |
|
|
71 |
C |
p. |
article |
22 |
Disentangle domain features for cross-modality cardiac image segmentation
|
Pei, Chenhao |
|
|
71 |
C |
p. |
article |
23 |
Diverse data augmentation for learning image segmentation with cross-modality annotations
|
Chen, Xu |
|
|
71 |
C |
p. |
article |
24 |
Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography
|
Guo, Libao |
|
|
71 |
C |
p. |
article |
25 |
Editorial Board
|
|
|
|
71 |
C |
p. |
article |
26 |
EndoSLAM dataset and an unsupervised monocular visual odometry and depth estimation approach for endoscopic videos
|
Ozyoruk, Kutsev Bengisu |
|
|
71 |
C |
p. |
article |
27 |
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking
|
Zhao, Mengyang |
|
|
71 |
C |
p. |
article |
28 |
Imitation learning for improved 3D PET/MR attenuation correction
|
Kläser, Kerstin |
|
|
71 |
C |
p. |
article |
29 |
Longitudinal self-supervised learning
|
Zhao, Qingyu |
|
|
71 |
C |
p. |
article |
30 |
Loss odyssey in medical image segmentation
|
Ma, Jun |
|
|
71 |
C |
p. |
article |
31 |
Meta grayscale adaptive network for 3D integrated renal structures segmentation
|
He, Yuting |
|
|
71 |
C |
p. |
article |
32 |
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling
|
He, Kelei |
|
|
71 |
C |
p. |
article |
33 |
MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations
|
Burak Gürbüz, Mustafa |
|
|
71 |
C |
p. |
article |
34 |
Modeling dynamic characteristics of brain functional connectivity networks using resting-state functional MRI
|
Wang, Mingliang |
|
|
71 |
C |
p. |
article |
35 |
Multimodal super-resolved q-space deep learning
|
Qin, Yu |
|
|
71 |
C |
p. |
article |
36 |
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification
|
Guan, Hao |
|
|
71 |
C |
p. |
article |
37 |
Non-linear fitting with joint spatial regularization in arterial spin labeling
|
Maier, Oliver |
|
|
71 |
C |
p. |
article |
38 |
Personalising left-ventricular biophysical models of the heart using parametric physics-informed neural networks
|
Buoso, Stefano |
|
|
71 |
C |
p. |
article |
39 |
Phenotype discovery from population brain imaging
|
Gong, Weikang |
|
|
71 |
C |
p. |
article |
40 |
RICE: A method for quantitative mammographic image enhancement
|
Janan, Faraz |
|
|
71 |
C |
p. |
article |
41 |
SoftSeg: Advantages of soft versus binary training for image segmentation
|
Gros, Charley |
|
|
71 |
C |
p. |
article |
42 |
Special issue on intelligent analysis of COVID-19 imaging data
|
|
|
|
71 |
C |
p. |
article |
43 |
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning
|
Xia, Yan |
|
|
71 |
C |
p. |
article |
44 |
Towards improved breast mass detection using dual-view mammogram matching
|
Yan, Yutong |
|
|
71 |
C |
p. |
article |
45 |
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data
|
Chung, Hyungjin |
|
|
71 |
C |
p. |
article |
46 |
Ultrasound deep beamforming using a multiconstrained hybrid generative adversarial network
|
Zhou, Zixia |
|
|
71 |
C |
p. |
article |
47 |
Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment
|
Bernardino, Gabriel |
|
|
71 |
C |
p. |
article |
48 |
Weakly-supervised progressive denoising with unpaired CT images
|
Kim, Byeongjoon |
|
|
71 |
C |
p. |
article |