nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Adaptive diffusion priors for accelerated MRI reconstruction
|
Güngör, Alper |
|
|
88 |
C |
p. |
artikel |
2 |
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
|
Xu, Zhe |
|
|
88 |
C |
p. |
artikel |
3 |
An aggregation of aggregation methods in computational pathology
|
Bilal, Mohsin |
|
|
88 |
C |
p. |
artikel |
4 |
Anatomically constrained and attention-guided deep feature fusion for joint segmentation and deformable medical image registration
|
Khor, Hee Guan |
|
|
88 |
C |
p. |
artikel |
5 |
A novel one-to-multiple unsupervised domain adaptation framework for abdominal organ segmentation
|
Xu, Xiaowei |
|
|
88 |
C |
p. |
artikel |
6 |
A survey on deep learning for skin lesion segmentation
|
Mirikharaji, Zahra |
|
|
88 |
C |
p. |
artikel |
7 |
Attentive continuous generative self-training for unsupervised domain adaptive medical image translation
|
Liu, Xiaofeng |
|
|
88 |
C |
p. |
artikel |
8 |
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics
|
Vakli, Pál |
|
|
88 |
C |
p. |
artikel |
9 |
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective
|
Xu, Kaiwen |
|
|
88 |
C |
p. |
artikel |
10 |
BolT: Fused window transformers for fMRI time series analysis
|
Bedel, Hasan A. |
|
|
88 |
C |
p. |
artikel |
11 |
Cerebrovascular super-resolution 4D Flow MRI – Sequential combination of resolution enhancement by deep learning and physics-informed image processing to non-invasively quantify intracranial velocity, flow, and relative pressure
|
Ferdian, E. |
|
|
88 |
C |
p. |
artikel |
12 |
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available
|
Dadashkarimi, Javid |
|
|
88 |
C |
p. |
artikel |
13 |
Cross-dimensional transfer learning in medical image segmentation with deep learning
|
Messaoudi, Hicham |
|
|
88 |
C |
p. |
artikel |
14 |
Deep multimodality-disentangled association analysis network for imaging genetics in neurodegenerative diseases
|
Wang, Tao |
|
|
88 |
C |
p. |
artikel |
15 |
Diffusion models in medical imaging: A comprehensive survey
|
Kazerouni, Amirhossein |
|
|
88 |
C |
p. |
artikel |
16 |
Dissecting self-supervised learning methods for surgical computer vision
|
Ramesh, Sanat |
|
|
88 |
C |
p. |
artikel |
17 |
DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT
|
Chen, Xiongchao |
|
|
88 |
C |
p. |
artikel |
18 |
Editorial Board
|
|
|
|
88 |
C |
p. |
artikel |
19 |
E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image
|
Cao, Lei |
|
|
88 |
C |
p. |
artikel |
20 |
Fetal brain tissue annotation and segmentation challenge results
|
Payette, Kelly |
|
|
88 |
C |
p. |
artikel |
21 |
Gaussian Processes for real-time 3D motion and uncertainty estimation during MR-guided radiotherapy
|
Huttinga, Niek R.F. |
|
|
88 |
C |
p. |
artikel |
22 |
Gigapixel end-to-end training using streaming and attention
|
Dooper, Stephan |
|
|
88 |
C |
p. |
artikel |
23 |
Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis
|
Xing, Xiaohan |
|
|
88 |
C |
p. |
artikel |
24 |
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
|
Zaripova, Kamilia |
|
|
88 |
C |
p. |
artikel |
25 |
HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation
|
Li, Xiaokang |
|
|
88 |
C |
p. |
artikel |
26 |
High-resolution feature based central venous catheter tip detection network in X-ray images
|
Wang, Yuhan |
|
|
88 |
C |
p. |
artikel |
27 |
ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization
|
Cackowski, Stenzel |
|
|
88 |
C |
p. |
artikel |
28 |
K-UNN: k -space interpolation with untrained neural network
|
Cui, Zhuo-Xu |
|
|
88 |
C |
p. |
artikel |
29 |
Learning-based needle tip tracking in 2D ultrasound by fusing visual tracking and motion prediction
|
Yan, Wanquan |
|
|
88 |
C |
p. |
artikel |
30 |
Live laparoscopic video retrieval with compressed uncertainty
|
Yu, Tong |
|
|
88 |
C |
p. |
artikel |
31 |
Multi-modality cardiac image computing: A survey
|
Li, Lei |
|
|
88 |
C |
p. |
artikel |
32 |
MUTE: A multilevel-stimulated denoising strategy for single cataractous retinal image dehazing
|
Zhang, Shuhe |
|
|
88 |
C |
p. |
artikel |
33 |
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations
|
Pan, Xipeng |
|
|
88 |
C |
p. |
artikel |
34 |
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge
|
Li, Jianning |
|
|
88 |
C |
p. |
artikel |
35 |
Transformers in medical imaging: A survey
|
Shamshad, Fahad |
|
|
88 |
C |
p. |
artikel |
36 |
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images
|
Dawood, Tareen |
|
|
88 |
C |
p. |
artikel |