# Computer Methods and Programs in Biomedicine

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/computer-methods-and-programs-in-biomedicine/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 2,880 |
| Citations | 255,481 |
| h-index | 183 |
| Homepage | https://www.journals.elsevier.com/computer-methods-and-programs-in-biomedicine |
| Open Access | false |
| ISSN-L | 0169-2607 |
| ISSNs | 0169-2607,1872-7565 |
| OpenAlex ID | https://openalex.org/S138959710 |
| Publisher | Elsevier BV |
| Works | 8,598 |

## Journal papers

Showing 12 of 41.

- [Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics](https://scholariq.org/papers/blood-vessel-segmentation-algorithms-review-of-methods-datasets-and-evaluation/)
- [Developing a new intelligent system for the diagnosis of tuberculous pleural effusion](https://scholariq.org/papers/developing-a-new-intelligent-system-for-the-diagnosis-of-tuberculous-pleural/)
- [Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging](https://scholariq.org/papers/efficient-skin-lesion-segmentation-using-separable-unet-with-stochastic-weight/)
- [Fine-grained leukocyte classification with deep residual learning for microscopic images](https://scholariq.org/papers/fine-grained-leukocyte-classification-with-deep-residual-learning-for/)
- [Alzheimer's disease detection using depthwise separable convolutional neural networks](https://scholariq.org/papers/alzheimer-s-disease-detection-using-depthwise-separable-convolutional-neural/)
- [hs-CRP is strongly associated with coronary heart disease (CHD): A data mining approach using decision tree algorithm](https://scholariq.org/papers/hs-crp-is-strongly-associated-with-coronary-heart-disease-chd-a-data-mining/)
- [SAS and R functions to compute pseudo-values for censored data regression](https://scholariq.org/papers/sas-and-r-functions-to-compute-pseudo-values-for-censored-data-regression/)
- [Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms](https://scholariq.org/papers/statistical-characterization-and-classification-of-colon-microarray-gene/)
- [Complexity of EEG Dynamics for Early Diagnosis of Alzheimer's Disease Using Permutation Entropy Neuromarker](https://scholariq.org/papers/complexity-of-eeg-dynamics-for-early-diagnosis-of-alzheimer-s-disease-using/)
- [Towards an anxiety and stress recognition system for academic environments based on physiological features](https://scholariq.org/papers/towards-an-anxiety-and-stress-recognition-system-for-academic-environments-based/)
- [Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images](https://scholariq.org/papers/simple-methods-for-segmentation-and-measurement-of-diabetic-retinopathy-lesions/)
- [Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis](https://scholariq.org/papers/data-augmentation-using-generative-adversarial-neural-networks-on-brain/)

## Journal top topics

Showing 8 of 25.

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Human auditory perception and evaluation](https://scholariq.org/topics/human-auditory-perception-and-evaluation/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)
- [Diverse Scientific and Economic Studies](https://scholariq.org/topics/diverse-scientific-and-economic-studies/)
- [Educational Robotics and Engineering](https://scholariq.org/topics/educational-robotics-and-engineering/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.