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Studies in health technology and informatics
JournalCitation impact & published research
Studies in health technology and informatics is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 22,672 works, 86,568 citations and an h-index of 72.
22,672
Works
86,568
Citations
72
h-index
IDs:OpenAlex
What are the most-cited papers on Studies in health technology and informatics?
ScholarIQmost cited works
Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans
Gleb Danilov, Konstantin Kotik, Анна Дмитриевна Негреева, Tatiana Tsukanova, Michael Shifrin, N E Zakharova, Batalov Artem, Igor Pronin, Potapov Aa
Studies in health technology and informatics. 202039 CitationsOPEN ACCESS
Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models
Dominik Müller, Iñaki Soto‐Rey, Frank Krämer
Studies in health technology and informatics. 202132 CitationsOPEN ACCESS
MISeval: A Metric Library for Medical Image Segmentation Evaluation
Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto‐Rey, Frank Krämer
Studies in health technology and informatics. 202222 CitationsOPEN ACCESS
The Classification of Short Scientific Texts Using Pretrained BERT Model
Gleb Danilov, Timur Ishankulov, Konstantin Kotik, Yuriy Orlov, Mikhail Shifrin, Potapov Aa
Studies in health technology and informatics. 202120 CitationsOPEN ACCESS
Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG
Ekaterina Kutafina, David Laukamp, Stephan Jonas
Studies in health technology and informatics. 201519 Citations
Related on ScholarIQ
Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans
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Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models
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MISeval: A Metric Library for Medical Image Segmentation Evaluation
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The Classification of Short Scientific Texts Using Pretrained BERT Model
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Wearable Sensors in Medical Education: Supporting Hand Hygiene Training with a Forearm EMG
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Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients
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