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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Volume 14
Volume 14, Number 1, December 2026
- M. Ramya, A. R. Kavitha:

Mamdani fuzzy inference system based on multi-textural biomarkers for Alzheimer's stage detection. - Yu Gao, José Miguel Diniz:

From perception to imagination: a robust deep learning architecture for real-time EEG decoding and neurophysiological validation. - Nobuchika Yamaki

, Tenna Churiki:
A three-dimensional geometric model reveals posture-dependent effects of femoral anteversion on hip structural alignment. - Shraddha S. Shinde, Swati A. Bhavsar:

Comprehensive study of ophthalmic diseases: insights, challenges and innovations. - Bouke L. Scheltinga, Myrna De Wilde, Jasper Reenalda

:
Field-based 3D kinematic analyses from a stereo camera setup for football. - Shruthi G, Krishna Raj P. M.:

Trans-Semantic residual deep structure for scalable brain cancer segmentation: BResU-Net. - Nikhil Govil, S. Gopal Krishna Patro, Arabinda Dash, Ahmed Kateb Jumaah Al-Nussairi

, Ahmed Adnan Hadi, Md. Amir, Samim Sherzod:
A Sugeno-fuzzy integral fusion framework for brain tumor identification using transfer learning models. - Fahad Mushabbab G. Alotaibi, Kaixuan Zhang, Abduljabbar S. Ba Mahel, Zenebe Markos Lonseko, Tao Gan, Nini Rao:

A low-cost high-accuracy method for colorectal polyp detection. - Rajalashmi Kannan, Harikumar Rajaguru:

Enrichment of machine learning classifiers performance in detection of leukaemia from microarray genes through bio-inspired feature extraction methods - an overview. - Leiyong Guo, Weiye Tao:

Voice-based Parkinson's disease detection: a clinically validated lightweight framework via multi-task knowledge distillation. - Subraya Krishna Bhat, Neha J. Rao, Prakashini K, Girish H, Shiva Kumar, Nitesh Kumar:

Exploratory study on fracture identification in hand radiographs using deep and machine learning methods. - Nahida Nazir, Abid Sarwar, Omdev Dahiya

, Vandit Gandotra, Sameena Pathan:
DeepSeg-Net: a novel approach for automated segmentation of cytoplasm and nucleus in pap smear images for enhanced cervical cancer diagnosis. - Yifan Lu

, Baojiang Li
, Yunhai Zhang, Yayu Qi:
MRAMnet: a multi-region attention network with contrastive disentangled learning for diabetic retinopathy grading. - Marko Nygård

, Marcus Karlsson
, Johan Wänman
, Josefin Åkerstedt
:
Deep learning-based spine vertebrae and pedicle screw segmentation from postoperative CT images: a feasibility study using limited data. - Jérôme Schmid, Azal Al-Musibli, Onur Cagdas, Vasiliki Foufi

, Mina Bjelogrlic
, Christian Lovis
, Pierre-Alexandre Poletti
, Xavier Montet
, Hicham Bouredoucen
, Sana Boudabbous
:
Investigating the use of artificial intelligence to detect scaphoid fractures from a single incidence radiograph. - Boyan Jia

, Cuicui Wu, Yeting Wang, Jinqiu Zhang, Jiayuan Qi, Lizhen Li
:
An interpretable machine learning model for classifying cerebral small vessel disease using carotid plaque ultrasound radiomics and clinical features.

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