International Journal of Computer Assisted Radiology and Surgery

JournalCitation impact & published research

International Journal of Computer Assisted Radiology and Surgery is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 3,828 works, 65,429 citations, an h-index of 86 and an APC (USD) of 4,390.

3,828

Works

65,429

Citations

h-index

4,390

APC (USD)

IDs:OpenAlex

What are the most-cited papers on International Journal of Computer Assisted Radiology and Surgery?

ScholarIQmost cited works

Surgical process modelling: a review

Florent Lalys, Pierre Jannin

International Journal of Computer Assisted Radiology and Surgery. 2013263 CitationsOPEN ACCESS

Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery

Ziheng Wang, Ann Majewicz Fey

International Journal of Computer Assisted Radiology and Surgery. 2018245 CitationsOPEN ACCESS

Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions

Yohannes Kassahun, Bingbin Yu, Abraham Temesgen Tibebu, Danail Stoyanov, Stamatia Giannarou, Jan Hendrik Metzen, Emmanuel Vander Poorten

International Journal of Computer Assisted Radiology and Surgery. 2015239 Citations

Video-based surgical skill assessment using 3D convolutional neural networks

Isabel Funke, Sören Torge Mees, Jürgen Weitz, Stefanie Speidel

International Journal of Computer Assisted Radiology and Surgery. 2019188 CitationsOPEN ACCESS

Explainability of deep neural networks for MRI analysis of brain tumors

Ramy A. Zeineldin, Mohamed Esmail Karar, Ziad Elshaer, Jan Coburger, Christian Rainer Wirtz, Oliver Burgert, Franziska Mathis-Ullrich

International Journal of Computer Assisted Radiology and Surgery. 2022154 CitationsOPEN ACCESS

Related on ScholarIQ

Surgical process modelling: a review

Paper

Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery

Paper

Surgical robotics beyond enhanced dexterity instrumentation: a survey of machine learning techniques and their role in intelligent and autonomous surgical actions

Paper

Video-based surgical skill assessment using 3D convolutional neural networks

Paper

Explainability of deep neural networks for MRI analysis of brain tumors

Paper

Automatic data-driven real-time segmentation and recognition of surgical workflow

Paper