Research output per year
Research output per year
Personal profile
Research interests
I am interested in the machine (deep) learning and computer vision, in particular medical applications. Currently, I am working on the automatic outcome prediction of ischaemic stroke treatment.
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Dive into the research topics where Zeynel A Samak is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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TranSOP: Transformer-based Multimodal Classification for Stroke Treatment Outcome Prediction
Samak, Z. A., Clatworthy, P. L. & Mirmehdi, M., 23 Jan 2023, (Accepted/In press) 20th IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer SocietyResearch output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
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FeMA: Feature Matching Auto-encoder for Predicting Ischaemic Stroke Evolution and Treatment Outcome
Samak, Z. A., Clatworthy, P. L. & Mirmehdi, M., 20 Jun 2022, In: Computerized Medical Imaging and Graphics. 99, 11 p., 102089.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile16 Downloads (Pure) -
Prediction of Thrombectomy Functional Outcomes Using Multimodal Data
Samak, Z. A., Clatworthy, P. & Mirmehdi, M., 8 Jul 2020, Communications in Computer and Information Science: Medical Image Understanding and Analysis. Springer, Vol. 1248.Research output: Chapter in Book/Report/Conference proceeding › Chapter in a book
6 Citations (Scopus)
Thesis
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Automatic prediction of functional outcome of patients with ischaemic stroke
Author: Samak, Z. A., 9 May 2023Supervisor: Mirmehdi, M. (Supervisor) & Clatworthy, P. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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