nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A conformal regressor for predicting negative conversion time of Omicron patients
|
Wang, Pingping |
|
|
63 |
8 |
p. 2485-2495 |
artikel |
2 |
A direct learning approach for detection of hotspots in microwave hyperthermia treatments
|
Onal, Hulusi |
|
|
63 |
8 |
p. 2451-2462 |
artikel |
3 |
Automatic placement of simulated dental implants within CBCT images in optimum positions: a deep learning model
|
Alotaibi, Shahd |
|
|
63 |
8 |
p. 2325-2339 |
artikel |
4 |
Comprehensive comparison of different BITA graft configurations: a computational study integrating TTFM and hemodynamic predictors
|
Masoudi, Ahmad |
|
|
63 |
8 |
p. 2393-2406 |
artikel |
5 |
Correction to: Optimization of CBCT data with image processing methods and production with fused deposition modeling 3D printing
|
Sayin, Hamdi |
|
|
63 |
8 |
p. 2247 |
artikel |
6 |
Deep learning for retinal vessel segmentation: a systematic review of techniques and applications
|
Liu, Zhihui |
|
|
63 |
8 |
p. 2191-2208 |
artikel |
7 |
Drug repositioning based on mutual information for the treatment of Alzheimer’s disease patients
|
Cava, Claudia |
|
|
63 |
8 |
p. 2249-2257 |
artikel |
8 |
Estimation of pulse wave analysis indices from invasive arterial blood pressure only for a clinical assessment of wave reflection in a 5-day septic animal experiment
|
Guberti, Diletta |
|
|
63 |
8 |
p. 2341-2353 |
artikel |
9 |
ETDformer: an effective transformer block for segmentation of intracranial hemorrhage
|
Gong, Wanyuan |
|
|
63 |
8 |
p. 2355-2372 |
artikel |
10 |
GIFNet: an effective global infection feature network for automatic COVID-19 lung lesions segmentation
|
Murmu, Anita |
|
|
63 |
8 |
p. 2463-2484 |
artikel |
11 |
Hybrid model of feature-driven modular neural network–based grasshopper optimization algorithm for diabetic retinopathy classification using fundus images
|
Durai, D. Binny Jeba |
|
|
63 |
8 |
p. 2423-2436 |
artikel |
12 |
InspirationOnly: synthesizing expiratory CT from inspiratory CT to estimate parametric response map
|
Zhang, Tiande |
|
|
63 |
8 |
p. 2277-2294 |
artikel |
13 |
LGENet: disentangle anatomy and pathology features for late gadolinium enhancement image segmentation
|
Yang, Mingjing |
|
|
63 |
8 |
p. 2311-2323 |
artikel |
14 |
New AI explained and validated deep learning approaches to accurately predict diabetes
|
Shaheen, Ifra |
|
|
63 |
8 |
p. 2373-2392 |
artikel |
15 |
OCCMNet: Occlusion-Aware Class Characteristic Mining Network for multi-class artifacts detection in endoscopy
|
Xu, Chenchu |
|
|
63 |
8 |
p. 2407-2422 |
artikel |
16 |
Optimization of CBCT data with image processing methods and production with fused deposition modeling 3D printing
|
Sayin, Hamdi |
|
|
63 |
8 |
p. 2235-2246 |
artikel |
17 |
Paradigms and methods of noninvasive brain-computer interfaces in motor or communication assistance and rehabilitation: a systematic review
|
Meng, Jianjun |
|
|
63 |
8 |
p. 2209-2233 |
artikel |
18 |
Precise dental caries segmentation in X-rays with an attention and edge dual-decoder network
|
Huang, Feng |
|
|
63 |
8 |
p. 2259-2276 |
artikel |
19 |
SAMP-Net: a medical image segmentation network with split attention and multi-layer perceptron
|
Ma, Xiaoxuan |
|
|
63 |
8 |
p. 2437-2450 |
artikel |
20 |
TongueTransUNet: toward effective tongue contour segmentation using well-managed dataset
|
Al-hammuri, Khalid |
|
|
63 |
8 |
p. 2295-2309 |
artikel |
21 |
When deep learning is not enough: artificial life as a supplementary tool for segmentation of ultrasound images of breast cancer
|
Karunanayake, Nalan |
|
|
63 |
8 |
p. 2497-2520 |
artikel |