| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A cardiologist-like computer-aided interpretation framework to improve arrhythmia diagnosis from imbalanced training datasets
|
Hu, Lianting
|
|
|
4 |
9 |
p.
|
artikel
|
| 2 |
A historical perspective of biomedical explainable AI research
|
Malinverno, Luca
|
|
|
4 |
9 |
p.
|
artikel
|
| 3 |
AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images
|
Liu, Ruicun
|
|
|
4 |
9 |
p.
|
artikel
|
| 4 |
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework
|
Zhang, Jiadong
|
|
|
4 |
9 |
p.
|
artikel
|
| 5 |
B-factor prediction in proteins using a sequence-based deep learning model
|
Pandey, Akash
|
|
|
4 |
9 |
p.
|
artikel
|
| 6 |
Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction
|
Liu, Jiaxiang
|
|
|
4 |
9 |
p.
|
artikel
|
| 7 |
Evaluating progress in automatic chest X-ray radiology report generation
|
Yu, Feiyang
|
|
|
4 |
9 |
p.
|
artikel
|
| 8 |
Guiding maps of solvents for lithium-sulfur batteries via a computational data-driven approach
|
Atwi, Rasha
|
|
|
4 |
9 |
p.
|
artikel
|
| 9 |
Leakage and the reproducibility crisis in machine-learning-based science
|
Kapoor, Sayash
|
|
|
4 |
9 |
p.
|
artikel
|
| 10 |
S3-CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue
|
Babaei, Sepideh
|
|
|
4 |
9 |
p.
|
artikel
|
| 11 |
Stable clinical risk prediction against distribution shift in electronic health records
|
Lee, Seungyeon
|
|
|
4 |
9 |
p.
|
artikel
|
| 12 |
Upper limit of the transition temperature of superconducting materials
|
Liu, Yang
|
|
|
4 |
9 |
p.
|
artikel
|
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