OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Surgical Tool Datasets for Machine Learning Research: A Survey
Mark Rodrigues, Michael Mayo, Panos Patros
International Journal of Computer Vision (2022) Vol. 130, Iss. 9, pp. 2222-2248
Open Access | Times Cited: 16

Showing 16 citing articles:

Artificial intelligence and automation in endoscopy and surgery
François Chadebecq, Laurence Lovat, Danail Stoyanov
Nature Reviews Gastroenterology & Hepatology (2022) Vol. 20, Iss. 3, pp. 171-182
Open Access | Times Cited: 63

Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
Tobias Rueckert, Daniel Rueckert, Christoph Palm
Computers in Biology and Medicine (2024) Vol. 169, pp. 107929-107929
Open Access | Times Cited: 8

Convolutional Neural Network‐Based Deep Learning Engine for Mastoidectomy Instrument Recognition and Movement Tracking
Mallory J. Raymond, Biswajit Biswal, Royal M. Pipaliya, et al.
Otolaryngology (2024) Vol. 170, Iss. 6, pp. 1555-1560
Open Access | Times Cited: 4

A Collaborative Privacy Preserved Federated Learning Framework for Pneumonia Detection using Diverse Chest X-ray Data Silos
Shagun Sharma, Kalpna Guleria
International Journal of Mathematical Engineering and Management Sciences (2025) Vol. 10, Iss. 2, pp. 464-485
Closed Access

Deep Learning-Based Localization and Orientation Estimation of Pedicle Screws in Spinal Fusion Surgery
Kwang Hyeon Kim, Hae-Won Koo, Byung-Jou Lee
Korean Journal of Neurotrauma (2024) Vol. 20, Iss. 2, pp. 90-90
Open Access | Times Cited: 3

3D surgical instrument collection for computer vision and extended reality
Gijs Luijten, Christina Gsaxner, Jianning Li, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 6

Effect of head-mounted displays on students’ acquisition of surgical suturing techniques compared to an e-learning and tutor-led course: a randomized controlled trial
Philipp Peters, Martín Lemos, Andrea Bönsch, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 8, pp. 2228-2240
Open Access | Times Cited: 5

Surgical optomics: hyperspectral imaging and deep learning towards precision intraoperative automatic tissue recognition—results from the EX-MACHYNA trial
Elisa Bannone, Toby Collins, Alessandro Esposito, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 7, pp. 3758-3772
Closed Access | Times Cited: 1

Computer-vision based analysis of the neurosurgical scene – A systematic review
Félix Buyck, Jef Vandemeulebroucke, Jakub Ceranka, et al.
Brain and Spine (2023) Vol. 3, pp. 102706-102706
Open Access | Times Cited: 3

Evaluation of single-stage vision models for pose estimation of surgical instruments
William S. Burton, Casey A. Myers, Matthew J. Rutherford, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 18, Iss. 12, pp. 2125-2142
Closed Access | Times Cited: 2

Anchor-Free Convolutional Neural Network Application to Enhance Real-Time Surgical Tool Detection in Computer-Aided Surgery
Song He, Zijian Zhao, Kaidi Liu, et al.
IEEE Transactions on Medical Robotics and Bionics (2023) Vol. 6, Iss. 1, pp. 73-83
Closed Access | Times Cited: 2

Pre-Trained Lightweight Deep Learning Models for Surgical Instrument Detection: Performance Evaluation for Edge Inference
Md. Sabbir Ahmed, Stefano Giordano
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2023), pp. 3873-3878
Closed Access | Times Cited: 1

The recognition of surgical tools based on attention mechanism
Jing Chen, Zhen Xu, Wei Liao, et al.
Research Square (Research Square) (2023)
Open Access

Training a Multi-task Model for Classification and Grasp Detection of Surgical Tools Using Transfer Learning
Vijay Bhaskar Semwal, Yogesh Kumar Prajapat, Rahul Jain
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access

A Real-Time Laparoscopic Surgical Instrument Detection System Based on YOLOv5
Y. Wang, Gang He, Md Foysal Ahmed
2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) (2023), pp. 1-6
Closed Access

Page 1

Scroll to top