SCIESCOPUSQ4
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization
TAYLOR & FRANCIS LTD, United Kingdom
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization is an academic journal published by TAYLOR & FRANCIS LTD (United Kingdom). Identifiers: ISSN 2168-1163, eISSN 2168-1171. Indexed in SCIE, SCOPUS. Metrics: JIF 1.3, CiteScore 3.8, SJR 0.376, SNIP 0.54. Subject areas: ENGINEERING, BIOMEDICAL. tlooto lists 807 papers from this journal.
CiteScore
3.80
Scopus citation metric
SJR
0.376
SCImago rank
SNIP
0.54
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 2168-1163
- eISSN
- 2168-1171
- Abbreviation
- COMP M BIO BIO E-IV
- Publisher
- TAYLOR & FRANCIS LTD
- Country
- United Kingdom
Web of Science categories
No Web of Science category data available.
Scopus ASJC categories
17062204 Biomedical Engineering2206 Computational Mechanics2741 Radiology
Papers in this journal
Recent papers
- Field-based 3D kinematic analyses from a stereo camera setup for football
2026
- From perception to imagination: a robust deep learning architecture for real-time EEG decoding and neurophysiological validation
2026
- An interpretable machine learning model for classifying cerebral small vessel disease using carotid plaque ultrasound radiomics and clinical features
2026
- Deep learning-based spine vertebrae and pedicle screw segmentation from postoperative CT images: a feasibility study using limited data
2026
- MRAMnet: a multi-region attention network with contrastive disentangled learning for diabetic retinopathy grading
2026
Most cited papers
- Microscopy cell counting and detection with fully convolutional regression networks
2018 · 497 citations
- Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
2018 · 253 citations
- A CNN-based methodology for breast cancer diagnosis using thermal images
2019 · 185 citations
- Deep similarity learning for multimodal medical images
2018 · 169 citations
- Automatic machine learning model for enhanced partition and identification of breast disorders in breast MRI scan
2024 · 157 citations