| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Agent-based approaches for biological modeling in oncology: A literature review
|
Stephan, Simon
|
|
|
152 |
C |
p.
|
article
|
| 2 |
Automated detection of myocardial infarction based on an improved state refinement module for LSTM/GRU
|
Wang, Jibin
|
|
|
152 |
C |
p.
|
article
|
| 3 |
Editorial Board
|
|
|
|
152 |
C |
p.
|
article
|
| 4 |
Hematologic cancer diagnosis and classification using machine and deep learning: State-of-the-art techniques and emerging research directives
|
Patel, Hema
|
|
|
152 |
C |
p.
|
article
|
| 5 |
Improving diagnosis and outcome prediction of gastric cancer via multimodal learning using whole slide pathological images and gene expression
|
Xie, Yuzhang
|
|
|
152 |
C |
p.
|
article
|
| 6 |
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training
|
Bai, Lei
|
|
|
152 |
C |
p.
|
article
|
| 7 |
Learning the cellular activity representation based on gene regulatory networks for prediction of tumor response to drugs
|
Xie, Xinping
|
|
|
152 |
C |
p.
|
article
|
| 8 |
MICIL: Multiple-Instance Class-Incremental Learning for skin cancer whole slide images
|
Meseguer, Pablo
|
|
|
152 |
C |
p.
|
article
|
| 9 |
The AI ethics of digital COVID-19 diagnosis and their legal, medical, technological, and operational managerial implications
|
Bartenschlager, Christina C.
|
|
|
152 |
C |
p.
|
article
|
Journal description