nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
AIGAN: Attention–encoding Integrated Generative Adversarial Network for the reconstruction of low-dose CT and low-dose PET images
|
Fu, Yu |
|
|
86 |
C |
p. |
artikel |
2 |
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI
|
Zheng, Tianshu |
|
|
86 |
C |
p. |
artikel |
3 |
Automatic uncertainty-based quality controlled T1 mapping and ECV analysis from native and post-contrast cardiac T1 mapping images using Bayesian vision transformer
|
Arega, Tewodros Weldebirhan |
|
|
86 |
C |
p. |
artikel |
4 |
Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI
|
Pizzolato, Marco |
|
|
86 |
C |
p. |
artikel |
5 |
Beyond rankings: Learning (more) from algorithm validation
|
Roß, Tobias |
|
|
86 |
C |
p. |
artikel |
6 |
CBCT-guided adaptive radiotherapy using self-supervised sequential domain adaptation with uncertainty estimation
|
Ebadi, Nima |
|
|
86 |
C |
p. |
artikel |
7 |
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
|
Nwoye, Chinedu Innocent |
|
|
86 |
C |
p. |
artikel |
8 |
CNTSeg: A multimodal deep-learning-based network for cranial nerves tract segmentation
|
Xie, Lei |
|
|
86 |
C |
p. |
artikel |
9 |
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
|
Wagner, Martin |
|
|
86 |
C |
p. |
artikel |
10 |
Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients
|
Xie, Weiyi |
|
|
86 |
C |
p. |
artikel |
11 |
Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)
|
Li, Ziyu |
|
|
86 |
C |
p. |
artikel |
12 |
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
|
Cai, Yu |
|
|
86 |
C |
p. |
artikel |
13 |
Editorial Board
|
|
|
|
86 |
C |
p. |
artikel |
14 |
Generalized pancreatic cancer diagnosis via multiple instance learning and anatomically-guided shape normalization
|
Qu, Jiaqi |
|
|
86 |
C |
p. |
artikel |
15 |
Hyper-convolutions via implicit kernels for medical image analysis
|
Ma, Tianyu |
|
|
86 |
C |
p. |
artikel |
16 |
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans
|
Bougourzi, Fares |
|
|
86 |
C |
p. |
artikel |
17 |
Radiology report generation with a learned knowledge base and multi-modal alignment
|
Yang, Shuxin |
|
|
86 |
C |
p. |
artikel |
18 |
SAC-Net: Learning with weak and noisy labels in histopathology image segmentation
|
Guo, Ruoyu |
|
|
86 |
C |
p. |
artikel |
19 |
SpineRegNet: Spine Registration Network for volumetric MR and CT image by the joint estimation of an affine-elastic deformation field
|
Zhao, Lei |
|
|
86 |
C |
p. |
artikel |
20 |
Surface deformation tracking in monocular laparoscopic video
|
Liu, Ziteng |
|
|
86 |
C |
p. |
artikel |
21 |
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
|
Billot, Benjamin |
|
|
86 |
C |
p. |
artikel |
22 |
Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation
|
Qu, Taiping |
|
|
86 |
C |
p. |
artikel |
23 |
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification
|
Zhang, Yuhan |
|
|
86 |
C |
p. |
artikel |
24 |
Unpaired mesh-to-image translation for 3D fluorescent microscopy images of neurons
|
Cudic, Mihael |
|
|
86 |
C |
p. |
artikel |
25 |
Weakly supervised histopathology image segmentation with self-attention
|
Li, Kailu |
|
|
86 |
C |
p. |
artikel |