| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An ultrasound-exclusive non-invasive computational diagnostic framework for personalized cardiology of aortic valve stenosis
|
Bahadormanesh, Nikrouz
|
|
|
87 |
C |
p.
|
artikel
|
| 2 |
A reinforcement learning approach for VQA validation: An application to diabetic macular edema grading
|
Fountoukidou, Tatiana
|
|
|
87 |
C |
p.
|
artikel
|
| 3 |
Calibrating segmentation networks with margin-based label smoothing
|
Murugesan, Balamurali
|
|
|
87 |
C |
p.
|
artikel
|
| 4 |
Contour-aware network with class-wise convolutions for 3D abdominal multi-organ segmentation
|
Gao, Hongjian
|
|
|
87 |
C |
p.
|
artikel
|
| 5 |
DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging
|
Fang, Zhenghan
|
|
|
87 |
C |
p.
|
artikel
|
| 6 |
Distribution based MIL pooling filters: Experiments on a lymph node metastases dataset
|
Oner, Mustafa Umit
|
|
|
87 |
C |
p.
|
artikel
|
| 7 |
DLGNet: A dual-branch lesion-aware network with the supervised Gaussian Mixture model for colon lesions classification in colonoscopy images
|
Wang, Kai-Ni
|
|
|
87 |
C |
p.
|
artikel
|
| 8 |
Dynamic weighted hypergraph convolutional network for brain functional connectome analysis
|
Wang, Junqi
|
|
|
87 |
C |
p.
|
artikel
|
| 9 |
Editorial Board
|
|
|
|
87 |
C |
p.
|
artikel
|
| 10 |
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology
|
Springenberg, Maximilian
|
|
|
87 |
C |
p.
|
artikel
|
| 11 |
Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning
|
Yan, Rui
|
|
|
87 |
C |
p.
|
artikel
|
| 12 |
Learning pyramidal multi-scale harmonic wavelets for identifying the neuropathology propagation patterns of Alzheimer’s disease
|
Liu, Huan
|
|
|
87 |
C |
p.
|
artikel
|
| 13 |
Learning what and where to segment: A new perspective on medical image few-shot segmentation
|
Feng, Yong
|
|
|
87 |
C |
p.
|
artikel
|
| 14 |
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
|
Chaitanya, Krishna
|
|
|
87 |
C |
p.
|
artikel
|
| 15 |
Low-field magnetic resonance image enhancement via stochastic image quality transfer
|
Lin, Hongxiang
|
|
|
87 |
C |
p.
|
artikel
|
| 16 |
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images
|
Li, Lei
|
|
|
87 |
C |
p.
|
artikel
|
| 17 |
Prediction of the 3D shape of the L1 vertebral body from adjacent vertebrae
|
Sensale, M.
|
|
|
87 |
C |
p.
|
artikel
|
| 18 |
Pressure eye: In-bed contact pressure estimation via contact-less imaging
|
Liu, Shuangjun
|
|
|
87 |
C |
p.
|
artikel
|
| 19 |
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction
|
Luo, Mingyuan
|
|
|
87 |
C |
p.
|
artikel
|
| 20 |
Self-supervised anomaly detection, staging and segmentation for retinal images
|
Li, Yiyue
|
|
|
87 |
C |
p.
|
artikel
|
| 21 |
Semantic similarity metrics for image registration
|
Czolbe, Steffen
|
|
|
87 |
C |
p.
|
artikel
|
| 22 |
Strain estimation in aortic roots from 4D echocardiographic images using medial modeling and deformable registration
|
Aggarwal, Ankush
|
|
|
87 |
C |
p.
|
artikel
|
| 23 |
T r G A N e t : Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention Modules
|
Jha, Ranjeet Ranjan
|
|
|
87 |
C |
p.
|
artikel
|
| 24 |
Unpaired, unsupervised domain adaptation assumes your domains are already similar
|
van Tulder, Gijs
|
|
|
87 |
C |
p.
|
artikel
|
| 25 |
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion
|
Konz, Nicholas
|
|
|
87 |
C |
p.
|
artikel
|
| 26 |
Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials
|
Xia, Yan
|
|
|
87 |
C |
p.
|
artikel
|
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