nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement
|
Hansen, Stine |
|
|
89 |
C |
p. |
artikel |
2 |
A generic framework for embedding human brain function with temporally correlated autoencoder
|
Zhao, Lin |
|
|
89 |
C |
p. |
artikel |
3 |
Anatomy-guided domain adaptation for 3D in-bed human pose estimation
|
Bigalke, Alexander |
|
|
89 |
C |
p. |
artikel |
4 |
Attractive deep morphology-aware active contour network for vertebral body contour extraction with extensions to heterogeneous and semi-supervised scenarios
|
Zhao, Shen |
|
|
89 |
C |
p. |
artikel |
5 |
Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining
|
Pu, Jiantao |
|
|
89 |
C |
p. |
artikel |
6 |
Automatic labeling of Parkinson’s Disease gait videos with weak supervision
|
Gholami, Mohsen |
|
|
89 |
C |
p. |
artikel |
7 |
BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability
|
Gao, Shangqi |
|
|
89 |
C |
p. |
artikel |
8 |
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise
|
Mehrtens, Hendrik A. |
|
|
89 |
C |
p. |
artikel |
9 |
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation
|
Gu, Ran |
|
|
89 |
C |
p. |
artikel |
10 |
CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection
|
Nwoye, Chinedu Innocent |
|
|
89 |
C |
p. |
artikel |
11 |
CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging
|
Yang, Yanwu |
|
|
89 |
C |
p. |
artikel |
12 |
Curriculum label distribution learning for imbalanced medical image segmentation
|
Li, Xiangyu |
|
|
89 |
C |
p. |
artikel |
13 |
Discriminative ensemble meta-learning with co-regularization for rare fundus diseases diagnosis
|
Gao, Mengdi |
|
|
89 |
C |
p. |
artikel |
14 |
Dive into the details of self-supervised learning for medical image analysis
|
Zhang, Chuyan |
|
|
89 |
C |
p. |
artikel |
15 |
Editorial Board
|
|
|
|
89 |
C |
p. |
artikel |
16 |
Evaluation of MRI-based machine learning approaches for computer-aided diagnosis of dementia in a clinical data warehouse
|
Bottani, Simona |
|
|
89 |
C |
p. |
artikel |
17 |
Fast fetal head compounding from multi-view 3D ultrasound
|
Wright, Robert |
|
|
89 |
C |
p. |
artikel |
18 |
From WSI-level to patch-level: Structure prior-guided binuclear cell fine-grained detection
|
Hu, Geng |
|
|
89 |
C |
p. |
artikel |
19 |
Generative appearance replay for continual unsupervised domain adaptation
|
Chen, Boqi |
|
|
89 |
C |
p. |
artikel |
20 |
Hypergraph-regularized multimodal learning by graph diffusion for imaging genetics based Alzheimer’s Disease diagnosis
|
Wang, Meiling |
|
|
89 |
C |
p. |
artikel |
21 |
Minimum resolution requirements of digital pathology images for accurate classification
|
Neary-Zajiczek, Lydia |
|
|
89 |
C |
p. |
artikel |
22 |
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data
|
Torbati, Mahbaneh Eshaghzadeh |
|
|
89 |
C |
p. |
artikel |
23 |
Modeling and hexahedral meshing of cerebral arterial networks from centerlines
|
Decroocq, Méghane |
|
|
89 |
C |
p. |
artikel |
24 |
Monocular endoscope 6-DoF tracking with constrained evolutionary stochastic filtering
|
Luo, Xiongbiao |
|
|
89 |
C |
p. |
artikel |
25 |
Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis
|
Xiang, Hangchen |
|
|
89 |
C |
p. |
artikel |
26 |
Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding
|
Wan, Kaiwen |
|
|
89 |
C |
p. |
artikel |
27 |
MuSiC-ViT: A multi-task Siamese convolutional vision transformer for differentiating change from no-change in follow-up chest radiographs
|
Cho, Kyungjin |
|
|
89 |
C |
p. |
artikel |
28 |
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training
|
Lin, Yi |
|
|
89 |
C |
p. |
artikel |
29 |
PAIP 2020: Microsatellite instability prediction in colorectal cancer
|
Kim, Kyungmo |
|
|
89 |
C |
p. |
artikel |
30 |
POST-IVUS: A perceptual organisation-aware selective transformer framework for intravascular ultrasound segmentation
|
Huang, Xingru |
|
|
89 |
C |
p. |
artikel |
31 |
R2Net: Efficient and flexible diffeomorphic image registration using Lipschitz continuous residual networks
|
Joshi, Ankita |
|
|
89 |
C |
p. |
artikel |
32 |
Robotic ultrasound imaging: State-of-the-art and future perspectives
|
Jiang, Zhongliang |
|
|
89 |
C |
p. |
artikel |
33 |
Segment anything model for medical image analysis: An experimental study
|
Mazurowski, Maciej A. |
|
|
89 |
C |
p. |
artikel |
34 |
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey
|
Aswath, Anusha |
|
|
89 |
C |
p. |
artikel |
35 |
SGCL: Spatial guided contrastive learning on whole-slide pathological images
|
Lin, Tiancheng |
|
|
89 |
C |
p. |
artikel |
36 |
Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images
|
Lin, Ji |
|
|
89 |
C |
p. |
artikel |
37 |
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification
|
Jiao, Zhengyang |
|
|
89 |
C |
p. |
artikel |
38 |
TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images
|
Tang, Lu |
|
|
89 |
C |
p. |
artikel |
39 |
Unsupervised pre-training of graph transformers on patient population graphs
|
Pellegrini, Chantal |
|
|
89 |
C |
p. |
artikel |
40 |
Using deep learning for an automatic detection and classification of the vascular bifurcations along the Circle of Willis
|
Nader, Rafic |
|
|
89 |
C |
p. |
artikel |
41 |
WarpPINN: Cine-MR image registration with physics-informed neural networks
|
Arratia López, Pablo |
|
|
89 |
C |
p. |
artikel |
42 |
Weakly supervised joint whole-slide segmentation and classification in prostate cancer
|
Pati, Pushpak |
|
|
89 |
C |
p. |
artikel |