nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis
|
Tang, Youbao |
|
|
67 |
C |
p. |
artikel |
2 |
Adversarial brain multiplex prediction from a single brain network with application to gender fingerprinting
|
Nebli, Ahmed |
|
|
67 |
C |
p. |
artikel |
3 |
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
|
Xiong, Zhaohan |
|
|
67 |
C |
p. |
artikel |
4 |
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
|
Chassagnon, Guillaume |
|
|
67 |
C |
p. |
artikel |
5 |
A novel approach to 2D/3D registration of X-ray images using Grangeat’s relation
|
Frysch, Robert |
|
|
67 |
C |
p. |
artikel |
6 |
A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data
|
Bi, Xia-an |
|
|
67 |
C |
p. |
artikel |
7 |
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework
|
Zhao, Shen |
|
|
67 |
C |
p. |
artikel |
8 |
Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching
|
Fu, Yabo |
|
|
67 |
C |
p. |
artikel |
9 |
Bone and joint enhancement filtering: Application to proximal femur segmentation from uncalibrated computed tomography datasets
|
Besler, Bryce A. |
|
|
67 |
C |
p. |
artikel |
10 |
Boundary loss for highly unbalanced segmentation
|
Kervadec, Hoel |
|
|
67 |
C |
p. |
artikel |
11 |
Computer aided diagnosis of thyroid nodules based on the devised small-datasets multi-view ensemble learning
|
Chen, Yifei |
|
|
67 |
C |
p. |
artikel |
12 |
Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study
|
Pérez, Eduardo |
|
|
67 |
C |
p. |
artikel |
13 |
CS 2 -Net: Deep learning segmentation of curvilinear structures in medical imaging
|
Mou, Lei |
|
|
67 |
C |
p. |
artikel |
14 |
Deep neural network models for computational histopathology: A survey
|
Srinidhi, Chetan L. |
|
|
67 |
C |
p. |
artikel |
15 |
Deep pyramid local attention neural network for cardiac structure segmentation in two-dimensional echocardiography
|
Liu, Fei |
|
|
67 |
C |
p. |
artikel |
16 |
Detect and correct bias in multi-site neuroimaging datasets
|
Wachinger, Christian |
|
|
67 |
C |
p. |
artikel |
17 |
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition
|
Wang, Gang |
|
|
67 |
C |
p. |
artikel |
18 |
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images
|
Huang, Yunzhi |
|
|
67 |
C |
p. |
artikel |
19 |
Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain
|
Bao, Lijun |
|
|
67 |
C |
p. |
artikel |
20 |
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks
|
Gutiérrez-Becker, Benjamín |
|
|
67 |
C |
p. |
artikel |
21 |
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images
|
Gao, Kai |
|
|
67 |
C |
p. |
artikel |
22 |
Editorial Board
|
|
|
|
67 |
C |
p. |
artikel |
23 |
Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss
|
Yang, Hongxu |
|
|
67 |
C |
p. |
artikel |
24 |
Eigenrank by committee: Von-Neumann entropy based data subset selection and failure prediction for deep learning based medical image segmentation
|
Gaonkar, Bilwaj |
|
|
67 |
C |
p. |
artikel |
25 |
ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network
|
Wu, Zhan |
|
|
67 |
C |
p. |
artikel |
26 |
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images
|
Gao, Yunhe |
|
|
67 |
C |
p. |
artikel |
27 |
Frequency-dependent attenuation reconstruction with an acoustic reflector
|
Rau, Richard |
|
|
67 |
C |
p. |
artikel |
28 |
Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy
|
Hu, Junjie |
|
|
67 |
C |
p. |
artikel |
29 |
Integrative analysis for COVID-19 patient outcome prediction
|
Chao, Hanqing |
|
|
67 |
C |
p. |
artikel |
30 |
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan
|
Zhu, Xiaofeng |
|
|
67 |
C |
p. |
artikel |
31 |
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
|
Dorent, Reuben |
|
|
67 |
C |
p. |
artikel |
32 |
Long range early diagnosis of Alzheimer's disease using longitudinal MR imaging data
|
Zhu, Yingying |
|
|
67 |
C |
p. |
artikel |
33 |
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes
|
Draelos, Rachel Lea |
|
|
67 |
C |
p. |
artikel |
34 |
Modeling dynamic radial contrast enhanced MRI with linear time invariant systems for motion correction in quantitative assessment of kidney function
|
Coll-Font, Jaume |
|
|
67 |
C |
p. |
artikel |
35 |
Models Genesis
|
Zhou, Zongwei |
|
|
67 |
C |
p. |
artikel |
36 |
Multi-scale graph-based grading for Alzheimer’s disease prediction
|
Hett, Kilian |
|
|
67 |
C |
p. |
artikel |
37 |
PAIP 2019: Liver cancer segmentation challenge
|
Kim, Yoo Jung |
|
|
67 |
C |
p. |
artikel |
38 |
Pairwise learning for medical image segmentation
|
Wang, Renzhen |
|
|
67 |
C |
p. |
artikel |
39 |
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review
|
Ansart, Manon |
|
|
67 |
C |
p. |
artikel |
40 |
Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets
|
Xia, Yan |
|
|
67 |
C |
p. |
artikel |
41 |
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks
|
Pati, Pushpak |
|
|
67 |
C |
p. |
artikel |
42 |
Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks
|
Rafael-Palou, Xavier |
|
|
67 |
C |
p. |
artikel |
43 |
Reviewers- an acknowledgement
|
|
|
|
67 |
C |
p. |
artikel |
44 |
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module
|
Ko, Youngjun |
|
|
67 |
C |
p. |
artikel |
45 |
Segmentation of cellular patterns in confocal images of melanocytic lesions in vivo via a multiscale encoder-decoder network (MED-Net)
|
Kose, Kivanc |
|
|
67 |
C |
p. |
artikel |
46 |
Selective synthetic augmentation with HistoGAN for improved histopathology image classification
|
Xue, Yuan |
|
|
67 |
C |
p. |
artikel |
47 |
Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy
|
Zhang, Dong |
|
|
67 |
C |
p. |
artikel |
48 |
Statistical deformation reconstruction using multi-organ shape features for pancreatic cancer localization
|
Nakao, Megumi |
|
|
67 |
C |
p. |
artikel |
49 |
ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery
|
Islam, Mobarakol |
|
|
67 |
C |
p. |
artikel |
50 |
Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network
|
van Hespen, Kees M. |
|
|
67 |
C |
p. |
artikel |
51 |
Super-Resolved q -Space deep learning with uncertainty quantification
|
Qin, Yu |
|
|
67 |
C |
p. |
artikel |
52 |
Surgical planning assistance in keyhole and percutaneous surgery: A systematic review
|
Scorza, Davide |
|
|
67 |
C |
p. |
artikel |
53 |
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
|
Bertels, Jeroen |
|
|
67 |
C |
p. |
artikel |
54 |
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge
|
Heller, Nicholas |
|
|
67 |
C |
p. |
artikel |
55 |
Triple attention learning for classification of 14 thoracic diseases using chest radiography
|
Wang, Hongyu |
|
|
67 |
C |
p. |
artikel |
56 |
Unifying neural learning and symbolic reasoning for spinal medical report generation
|
Han, Zhongyi |
|
|
67 |
C |
p. |
artikel |
57 |
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images
|
Dov, David |
|
|
67 |
C |
p. |
artikel |
58 |
Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration
|
Blendowski, Max |
|
|
67 |
C |
p. |
artikel |