Machine learning–enabled automated determination of acute ischemic core from computed tomography angiography

SA Sheth, V Lopez-Rivera, A Barman, JC Grotta… - Stroke, 2019 - Am Heart Assoc
Background and Purpose—The availability of and expertise to interpret advanced
neuroimaging recommended in the guideline-based endovascular stroke therapy (EST) …

Volumetric and spatial accuracy of computed tomography perfusion estimated ischemic core volume in patients with acute ischemic stroke

JW Hoving, HA Marquering, CBLM Majoie, N Yassi… - Stroke, 2018 - Am Heart Assoc
Background and Purpose—The volume of estimated ischemic core using computed
tomography perfusion (CTP) imaging can identify ischemic stroke patients who are likely to …

Relationship of family and self efficacy support to the rehabilitation motivation of stroke patients

ND Kurniawati, PD Rihi… - EurAsian Journal of …, 2020 - repository.unair.ac.id
Stroke is a common global health care problem. Life changes suddenly in a stroke patient
impact psychological conditions, including patient motivation, which can interfere with the …

3D movement correction of CT brain perfusion image data of patients with acute ischemic stroke

F Fahmi, HA Marquering, J Borst, GJ Streekstra… - Neuroradiology, 2014 - Springer
Introduction Head movement during CT brain perfusion (CTP) acquisition can deteriorate
the accuracy of CTP analysis. Most CTP software packages can only correct in-plane …

Real-time monitoring system for elderly people in detecting falling movement using accelerometer and gyroscope

B Siregar, U Andayani, RP Bahri… - Journal of Physics …, 2018 - iopscience.iop.org
Most of the elderly people is experiencing a decrease in physical quality, especially the
weakness in the legs. This will cause elderly easy to fall and can have a serious impact on …

Automatic detection of brain tumor on computed tomography images for patients in the intensive care unit

F Fahmi, F Apriyulida, IK Nasution… - Journal of Healthcare …, 2020 - Wiley Online Library
Patients in the intensive care unit require fast and efficient handling, including in‐diagnosis
service. The objectives of this study are to produce a computer‐aided system so that it can …

Smart cloud system with image processing server in diagnosing brain diseases dedicated for hospitals with limited resources

F Fahmi, TH Nasution… - Technology and Health …, 2017 - content.iospress.com
The use of medical imaging in diagnosing brain disease is growing. The challenges are
related to the big size of data and complexity of the image processing. High standard of …

Design of Classification of Human Stress Levels Based on Brain Wave Observation Using EEG with K-NN Algorithm

F Fahmi, V Aprianti, B Siregar… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Stress is a condition that can suppress the person's psychic state in achieving something.
Stress, at some level, can harm human health since it can cause various diseases that …

CT brain perfusion protocol to eliminate the need for selecting a venous output function

AJ Riordan, E Bennink, MA Viergever… - American Journal …, 2013 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: In CTP, an arterial input function is used for cerebral blood
volume measurement. AIFs are often influenced by partial volume effects resulting in …

Pupil localization for ophthalmic diagnosis using anchor ellipse regression

HH Lin, ZY Li, MH Shih, YN Sun… - 2019 16th International …, 2019 - ieeexplore.ieee.org
Recent developments of deep neural networks, such as Mask R-CNN, have shown
significant advances in simultaneous object detection and segmentation. We thus apply …