nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A dual-transformation with contrastive learning framework for lymph node metastasis prediction in pancreatic cancer
|
Chen, Xiahan |
|
|
85 |
C |
p. |
artikel |
2 |
AMNet: Adaptive multi-level network for deformable registration of 3D brain MR images
|
Che, Tongtong |
|
|
85 |
C |
p. |
artikel |
3 |
A novel multi-attention, multi-scale 3D deep network for coronary artery segmentation
|
Dong, Caixia |
|
|
85 |
C |
p. |
artikel |
4 |
CAN: Context-assisted full Attention Network for brain tissue segmentation
|
Li, Zhan |
|
|
85 |
C |
p. |
artikel |
5 |
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning
|
Hashimoto, Noriaki |
|
|
85 |
C |
p. |
artikel |
6 |
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets
|
Ke, Jing |
|
|
85 |
C |
p. |
artikel |
7 |
Comparative survey of multigraph integration methods for holistic brain connectivity mapping
|
Chaari, Nada |
|
|
85 |
C |
p. |
artikel |
8 |
Computing personalized brain functional networks from fMRI using self-supervised deep learning
|
Li, Hongming |
|
|
85 |
C |
p. |
artikel |
9 |
Continual learning strategies for cancer-independent detection of lymph node metastases
|
Bándi, Péter |
|
|
85 |
C |
p. |
artikel |
10 |
Deep learning prediction of diffusion MRI data with microstructure-sensitive loss functions
|
Chen, Geng |
|
|
85 |
C |
p. |
artikel |
11 |
Distilling sub-space structure across views for cardiac indices estimation
|
Yu, Chengjin |
|
|
85 |
C |
p. |
artikel |
12 |
Dynamic multi feature-class Gaussian process models
|
Fouefack, Jean-Rassaire |
|
|
85 |
C |
p. |
artikel |
13 |
Editorial Board
|
|
|
|
85 |
C |
p. |
artikel |
14 |
FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation
|
Sestini, Luca |
|
|
85 |
C |
p. |
artikel |
15 |
Generative Sampling in Bundle Tractography using Autoencoders (GESTA)
|
Legarreta, Jon Haitz |
|
|
85 |
C |
p. |
artikel |
16 |
Handcrafted Histological Transformer (H2T): Unsupervised representation of whole slide images
|
Vu, Quoc Dang |
|
|
85 |
C |
p. |
artikel |
17 |
Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation
|
Bhattarai, Binod |
|
|
85 |
C |
p. |
artikel |
18 |
InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images
|
Wang, Hong |
|
|
85 |
C |
p. |
artikel |
19 |
Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification
|
Wang, Lituan |
|
|
85 |
C |
p. |
artikel |
20 |
Learning to segment fetal brain tissue from noisy annotations
|
Karimi, Davood |
|
|
85 |
C |
p. |
artikel |
21 |
MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images
|
Tourniaire, Paul |
|
|
85 |
C |
p. |
artikel |
22 |
PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke
|
de Vries, Lucas |
|
|
85 |
C |
p. |
artikel |
23 |
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images
|
Yu, Jin-Gang |
|
|
85 |
C |
p. |
artikel |
24 |
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction
|
Lyu, Jun |
|
|
85 |
C |
p. |
artikel |
25 |
Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning
|
Wang, Yiwei |
|
|
85 |
C |
p. |
artikel |
26 |
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions
|
Xue, Tengfei |
|
|
85 |
C |
p. |
artikel |
27 |
The HoloLens in medicine: A systematic review and taxonomy
|
Gsaxner, Christina |
|
|
85 |
C |
p. |
artikel |
28 |
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
|
Li, Jun |
|
|
85 |
C |
p. |
artikel |
29 |
Vision-based estimation of MDS-UPDRS scores for quantifying Parkinson's disease tremor severity
|
Liu, Weiping |
|
|
85 |
C |
p. |
artikel |