nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Adversarial learning-based multi-level dense-transmission knowledge distillation for AP-ROP detection
|
Xie, Hai |
|
|
84 |
C |
p. |
artikel |
2 |
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images
|
Wang, Xiyue |
|
|
84 |
C |
p. |
artikel |
3 |
An attention residual u-net with differential preprocessing and geometric postprocessing: Learning how to segment vasculature including intracranial aneurysms
|
Mu, Nan |
|
|
84 |
C |
p. |
artikel |
4 |
Bilateral adaptive graph convolutional network on CT based Covid-19 diagnosis with uncertainty-aware consensus-assisted multiple instance learning
|
Meng, Yanda |
|
|
84 |
C |
p. |
artikel |
5 |
Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography
|
Ahn, Shawn S. |
|
|
84 |
C |
p. |
artikel |
6 |
Co-learning of appearance and shape for precise ejection fraction estimation from echocardiographic sequences
|
Wei, Hongrong |
|
|
84 |
C |
p. |
artikel |
7 |
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images
|
Cavalcanti, Yanna Cruz |
|
|
84 |
C |
p. |
artikel |
8 |
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
|
Osuala, Richard |
|
|
84 |
C |
p. |
artikel |
9 |
Deep learning for computational cytology: A survey
|
Jiang, Hao |
|
|
84 |
C |
p. |
artikel |
10 |
Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images
|
Su, Jiahang |
|
|
84 |
C |
p. |
artikel |
11 |
Editorial Board
|
|
|
|
84 |
C |
p. |
artikel |
12 |
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing
|
Wang, Guotai |
|
|
84 |
C |
p. |
artikel |
13 |
Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models
|
Pombo, Guilherme |
|
|
84 |
C |
p. |
artikel |
14 |
Explaining the black-box smoothly—A counterfactual approach
|
Singla, Sumedha |
|
|
84 |
C |
p. |
artikel |
15 |
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation
|
Ashtari, Pooya |
|
|
84 |
C |
p. |
artikel |
16 |
Guidelines and evaluation of clinical explainable AI in medical image analysis
|
Jin, Weina |
|
|
84 |
C |
p. |
artikel |
17 |
HYDI-DSI revisited: Constrained non-parametric EAP imaging without q-space re-gridding
|
Tristán-Vega, Antonio |
|
|
84 |
C |
p. |
artikel |
18 |
Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection
|
Shen, Zhenrong |
|
|
84 |
C |
p. |
artikel |
19 |
Merging nucleus datasets by correlation-based cross-training
|
Zhang, Wenhua |
|
|
84 |
C |
p. |
artikel |
20 |
Mitosis domain generalization in histopathology images — The MIDOG challenge
|
Aubreville, Marc |
|
|
84 |
C |
p. |
artikel |
21 |
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer
|
Zhou, Yufei |
|
|
84 |
C |
p. |
artikel |
22 |
MyoPS-Net: Myocardial pathology segmentation with flexible combination of multi-sequence CMR images
|
Qiu, Junyi |
|
|
84 |
C |
p. |
artikel |
23 |
NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data
|
Cognolato, Francesco |
|
|
84 |
C |
p. |
artikel |
24 |
On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images
|
Al Khalil, Yasmina |
|
|
84 |
C |
p. |
artikel |
25 |
Optimal transport features for morphometric population analysis
|
Gerber, Samuel |
|
|
84 |
C |
p. |
artikel |
26 |
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer’s disease diagnosis
|
Chen, Zhi |
|
|
84 |
C |
p. |
artikel |
27 |
Parallel non-Cartesian spatial-temporal dictionary learning neural networks (stDLNN) for accelerating 4D-MRI
|
Wang, Zhijun |
|
|
84 |
C |
p. |
artikel |
28 |
Robust endoscopic image mosaicking via fusion of multimodal estimation
|
Li, Liang |
|
|
84 |
C |
p. |
artikel |
29 |
Segmentation ability map: Interpret deep features for medical image segmentation
|
He, Sheng |
|
|
84 |
C |
p. |
artikel |
30 |
SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images
|
Wang, Yongwei |
|
|
84 |
C |
p. |
artikel |
31 |
The Liver Tumor Segmentation Benchmark (LiTS)
|
Bilic, Patrick |
|
|
84 |
C |
p. |
artikel |
32 |
Unsupervised cross-domain functional MRI adaptation for automated major depressive disorder identification
|
Fang, Yuqi |
|
|
84 |
C |
p. |
artikel |