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2002.03413
Cited By
Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment?
9 February 2020
Xin Yi
S. Adams
Robert D. E. Henderson
P. Babyn
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Papers citing
"Computer-Aided Assessment of Catheters and Tubes on Radiographs: How Good is Artificial Intelligence for Assessment?"
6 / 6 papers shown
Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting
Harshita Sharma
Maxwell Reynolds
Valentina Salvatelli
Anne-Marie G. Sykes
Kelly K. Horst
...
Daniel Coelho De Castro
Stephanie L. Hyland
P. Korfiatis
Ashish Khandelwal
Javier Alvarez-Valle
180
1
0
21 Nov 2025
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
Anja Thieme
Abhijith Rajamohan
Benjamin Cooper
Heather Groombridge
R. Simister
...
Ozan Oktay
Javier Alvarez-Valle
A. Nori
Stephen Harris
Joseph Jacob
232
10
0
08 May 2024
Automated Precision Localization of Peripherally Inserted Central Catheter Tip through Model-Agnostic Multi-Stage Networks
Subin Park
Yoon Ki Cha
Soyoung Park
Kyungsu Kim
M. Chung
202
3
0
14 Jun 2022
Development of Automatic Endotracheal Tube and Carina Detection on Portable Supine Chest Radiographs using Artificial Intelligence
Chi-Yeh Chen
Min-Hsin Huang
Yung-Nien Sun
Chao-Han Lai
121
2
0
07 Jun 2022
Automatic classification of multiple catheters in neonatal radiographs with deep learning
Robert D. E. Henderson
Xin Yi
S. Adams
P. Babyn
85
2
0
14 Nov 2020
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2020
I. Sirazitdinov
H. Schulz
A. Saalbach
S. Renisch
Dmitry V. Dylov
MedIm
214
6
0
02 Oct 2020
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