nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
ACEnet: Anatomical context-encoding network for neuroanatomy segmentation
|
Li, Yuemeng |
|
|
70 |
C |
p. |
artikel |
2 |
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
|
Jha, Debesh |
|
|
70 |
C |
p. |
artikel |
3 |
A shape-constraint adversarial framework with instance-normalized spatio-temporal features for inter-fetal membrane segmentation
|
Casella, Alessandro |
|
|
70 |
C |
p. |
artikel |
4 |
Cephalogram synthesis and landmark detection in dental cone-beam CT systems
|
Huang, Yixing |
|
|
70 |
C |
p. |
artikel |
5 |
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge
|
Roß, Tobias |
|
|
70 |
C |
p. |
artikel |
6 |
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis
|
Xu, Jun |
|
|
70 |
C |
p. |
artikel |
7 |
Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images
|
Wollmann, Thomas |
|
|
70 |
C |
p. |
artikel |
8 |
DeepHCS + + : Bright-field to fluorescence microscopy image conversion using multi-task learning with adversarial losses for label-free high-content screening
|
Lee, Gyuhyun |
|
|
70 |
C |
p. |
artikel |
9 |
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
|
Ali, Sharib |
|
|
70 |
C |
p. |
artikel |
10 |
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19
|
Zhong, Aoxiao |
|
|
70 |
C |
p. |
artikel |
11 |
Deep model-based magnetic resonance parameter mapping network (DOPAMINE) for fast T1 mapping using variable flip angle method
|
Jun, Yohan |
|
|
70 |
C |
p. |
artikel |
12 |
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification
|
Wang, Xi |
|
|
70 |
C |
p. |
artikel |
13 |
Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry
|
Hasan, Md. Kamrul |
|
|
70 |
C |
p. |
artikel |
14 |
Directional-TV algorithm for image reconstruction from limited-angular-range data
|
Zhang, Zheng |
|
|
70 |
C |
p. |
artikel |
15 |
Editorial Board
|
|
|
|
70 |
C |
p. |
artikel |
16 |
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke
|
Kuang, Hulin |
|
|
70 |
C |
p. |
artikel |
17 |
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network
|
Lyu, Tianling |
|
|
70 |
C |
p. |
artikel |
18 |
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
|
Yang, Dong |
|
|
70 |
C |
p. |
artikel |
19 |
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides
|
Riasatian, Abtin |
|
|
70 |
C |
p. |
artikel |
20 |
Fitting unbranching skeletal structures to objects
|
Liu, Zhiyuan |
|
|
70 |
C |
p. |
artikel |
21 |
Global guidance network for breast lesion segmentation in ultrasound images
|
Xue, Cheng |
|
|
70 |
C |
p. |
artikel |
22 |
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description
|
Li, Yuexiang |
|
|
70 |
C |
p. |
artikel |
23 |
Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis
|
Du, Lei |
|
|
70 |
C |
p. |
artikel |
24 |
Learning to map 2D ultrasound images into 3D space with minimal human annotation
|
Yeung, Pak-Hei |
|
|
70 |
C |
p. |
artikel |
25 |
LNDb challenge on automatic lung cancer patient management
|
Pedrosa, João |
|
|
70 |
C |
p. |
artikel |
26 |
Magic DIAMOND: Multi-fascicle diffusion compartment imaging with tensor distribution modeling and tensor-valued diffusion encoding
|
Reymbaut, Alexis |
|
|
70 |
C |
p. |
artikel |
27 |
Marginal loss and exclusion loss for partially supervised multi-organ segmentation
|
Shi, Gonglei |
|
|
70 |
C |
p. |
artikel |
28 |
Multi-scale fully convolutional neural networks for histopathology image segmentation: From nuclear aberrations to the global tissue architecture
|
Schmitz, Rüdiger |
|
|
70 |
C |
p. |
artikel |
29 |
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images
|
Zhou, Yue |
|
|
70 |
C |
p. |
artikel |
30 |
mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis
|
Yurt, Mahmut |
|
|
70 |
C |
p. |
artikel |
31 |
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge
|
Schirmer, Markus D. |
|
|
70 |
C |
p. |
artikel |
32 |
OF-UMRN: Uncertainty-guided multitask regression network aided by optical flow for fully automated comprehensive analysis of carotid artery
|
Zhao, Chengqian |
|
|
70 |
C |
p. |
artikel |
33 |
Predicting future cognitive decline with hyperbolic stochastic coding
|
Zhang, Jie |
|
|
70 |
C |
p. |
artikel |
34 |
Residual cyclegan for robust domain transformation of histopathological tissue slides
|
de Bel, Thomas |
|
|
70 |
C |
p. |
artikel |
35 |
SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation
|
Wu, Huisi |
|
|
70 |
C |
p. |
artikel |
36 |
Simultaneous multi-slice image reconstruction using regularized image domain split slice-GRAPPA for diffusion MRI
|
HashemizadehKolowri, SK. |
|
|
70 |
C |
p. |
artikel |
37 |
Special issue on MICCAI 2019
|
Staib, Lawrence H. |
|
|
70 |
C |
p. |
artikel |
38 |
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network
|
Zhang, Jingke |
|
|
70 |
C |
p. |
artikel |
39 |
VR-Caps: A Virtual Environment for Capsule Endoscopy
|
İncetan, Kağan |
|
|
70 |
C |
p. |
artikel |
40 |
Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images
|
Zhang, Dong |
|
|
70 |
C |
p. |
artikel |