Computer Methods and Programs in Biomedicine

JournalCitation impact & published research

Computer Methods and Programs in Biomedicine is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 8,598 works, 255,481 citations, an h-index of 183 and an APC (USD) of 2,880.

8,598

Works

255,481

Citations

183

h-index

2,880

APC (USD)

IDs:OpenAlex

What are the most-cited papers on Computer Methods and Programs in Biomedicine?

ScholarIQmost cited works

Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

Sara Moccia, Elena De Momi, Sara El Hadji, Leonardo S. Mattos

Computer Methods and Programs in Biomedicine. 2018568 CitationsOPEN ACCESS

Developing a new intelligent system for the diagnosis of tuberculous pleural effusion

Chengye Li, Lingxian Hou, Bishundat Yanesh Sharma, Huaizhong Li, Chengshui Chen, Yuping Li, Xuehua Zhao, Hui Huang, Zhennao Cai, Huiling Chen

Computer Methods and Programs in Biomedicine. 2017204 Citations

Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging

Peng Tang, Qiaokang Liang, Xintong Yan, Shao Xiang, Wei Sun, Dan Zhang, Gianmarc Coppola

Computer Methods and Programs in Biomedicine. 2019188 Citations

Fine-grained leukocyte classification with deep residual learning for microscopic images

Feiwei Qin, Nannan Gao, Yong Peng, Zizhao Wu, Shuying Shen, Artur Grudtsin

Computer Methods and Programs in Biomedicine. 2018167 Citations

Alzheimer's disease detection using depthwise separable convolutional neural networks

Junxiu Liu, Mingxing Li, Yuling Luo, Su Yang, Wei Li, Yifei Bi

Computer Methods and Programs in Biomedicine. 2021162 Citations

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Blood vessel segmentation algorithms — Review of methods, datasets and evaluation metrics

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Developing a new intelligent system for the diagnosis of tuberculous pleural effusion

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Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging

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Fine-grained leukocyte classification with deep residual learning for microscopic images

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Alzheimer's disease detection using depthwise separable convolutional neural networks

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hs-CRP is strongly associated with coronary heart disease (CHD): A data mining approach using decision tree algorithm

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