Publikationer pr. år
Publikationer pr. år
Personlig profil
Forskningsområde
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Data Science & Statistical Signal Processing (SSP)
The mission of my research is to use AI, ML and Data Science to:
- Improve people's health and welfare by making better medical solutions, based on the design and development of mathematical algorithms (predictive clinical algorithms and support tools) and hardware solutions (miniature medical robots)
- Protect our environment by optimizing the production of green energy generated from renewable resources harvested by wind turbines and fusion energy
Uddannelse (Akademiske kvalifikationer)
Electrical Engineering, Control Theory, Ph.D., Aalborg Universitet
15. feb. 2005 → 1. maj 2008
Dimissionsdato: 1. maj 2008
Electrical Engineering, Control Theory, MSc., Sharif University of Technology
1. feb. 2002 → 1. feb. 2004
Dimissionsdato: 1. feb. 2004
Eksterne ansættelser
Professor at Center of Excellence of Wireless Capsule Endoscopy, Odense University Hospital
1. nov. 2019 → 1. nov. 2024
Chair Data Analytics @ SDU eScience Center
1. jan. 2019 → …
Visiting Prof., Harvard University
1. feb. 2011 → 29. dec. 2011
Head of technical research at the Danish Center for Clinical AI (CAI-X)
Forskningsområder
- Moderne kunstig intelligens
- Maskinlæring
- Medicinsk billedbehandling
- Matematisk modellering
- Statistik
- Computer vision
- Stokastiske modeller
Fingeraftryk
Fingeraftryk dannes ud fra videnskabelige udgivelser og skaber et indeks med vægtede emneord for hver enkelt forsker.
- 1 Lignende profiler
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Emotion recognition and Artificial Intelligence: A Systematic Review (2014-2023) and Research Recommendations
Khare, S., Blanes-Vidal, V., Nadimi, E. & Acharya, U. R., sep. 2023, (Accepteret/In press) I: Information Fusion.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Interobserver agreement between an artificial intelligence algorithm and colon capsule endoscopy readers on bowel-cleansing quality
Schelde-Olesen, B., Herp, J., Braun, J-M., Koulaouzidis, A., Bjørsum-Meyer, T., Møller, L. K., Baatrup, G., Nadimi, E. & Deding, U., jun. 2023, I: iGIE. 2, 2, s. P148-153.E3Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers - A Case Study in Prostate Cancer: a Case Study in Prostate Cancer
Herp, J., Braun, J. M., Cantuaria, M. L., Tashk, A., Pedersen, T. B., Poulsen, M. H. A., Krogh, M., Nadimi, E. S. & Sheikh, S. P., 2023, I: IEEE Access. 11, s. 50295-50309Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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A CNN Architecture for Detection and Segmentation of Colorectal Polyps from CCE Images
Tashk, A., Sahin, K. E., Herp, J. & Nadimi, E. S., 2022, 2022 IEEE 5th International Conference on Image Processing Applications and Systems (IPAS). IEEE, 6 s.Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review
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AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images
Tashk, A., Herp, J., Bjørsum-Meyer, T., Koulaouzidis, A. & Nadimi, E., 25. nov. 2022, I: Diagnostics. 12, 12, 23 s., 2952.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Presse/medier
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Store ambitioner: Fynske læger og ingeniører skal helbrede mange flere
11/01/2021
1 Mediebidrag
Presse/medie
Undervisning og vejledning
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Artificial Intelligence for Healthcare Data - Summer School
, Manuella Lech Cantuaria & Jan-Matthias Braun 09/08/2021 → 20/08/2023
Kursus: Undervisning
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SM-DSC-U2 Data Science
, Victoria Blanes-Vidal & Esmaeil Nadimi 01/09/2017 → 01/01/2019
Kursus: Undervisning