Malaria Parasite Detection in Giemsa-stained Blood Cell Image
Malihi. L., Ansari-Asl. K., Behbahani. A. (2013). "Malaria Parasite Detection in Giemsa- stained Blood Cell Image." Machine Vision and Image Processing (MVIP). 1(1).
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Computer-Aided Diagnosis of Malaria Parsite using Patern Recognition Methods
Malihi. L., Ansari-Asl. K., Behbahani. A.. (2015). "Computer-Aided Diagnosis of Malaria Parsite using Patern Recognition Methods." Ajums Journals. 1(1).
Improvement in Classification Accuracy Rate Using Multiple Classifier Fusion towards Computer Vision Detection of Malaria Parasite (Plasmodium vivax)
Malihi. L., Ansari-Asl. K., Behbahani. A (2015). "Improvement in Classification Accuracy Rate Using Multiple Classifier Fusion towards Computer Vision Detection of Malaria Parasite (Plasmodium vivax)." Ajums Journals. 1(1).
Airport extraction from satellite images
Ebadi.S.M., PoorMohamad.A. ,Malihi.L. (2017). "Airport extraction from satellite images." International conference on fundamental research in electrical engineering. 1(1).
New monopole planar implant antenna for medical application
Malihi. R.,Malihi. L., Noorinia.J.. (2018). "New monopole planar implant antenna for medical application." 5th international conference on information technology. 1(1).
Design of wide band Microstrip-line-fed antenna with circular polarization at ISM band for biomedical applications
Your Name, You. (2009). "Design of wide band Microstrip-line-fed antenna with circular polarization at ISM band for biomedical applications" 10th International Conference on Information Technology. 1(1).
Single stuck-at-faults detection using test generation vector and deep stacked-sparse-autoencoder
Malihi. L., Malihi. R. . (2020). "Paper Title Number 1." SN applied science Springer Journal. 1(1).
Exploring the Properties and Evolution of Neural Network Eigenspaces during Training
Your Name, You. (2009). "Paper Title Number 1." Machine Vision and Image Processing (MVIP). 1(1).
Automatic Wound Type Classification with Convolutional Neural Networks
Malihi. L., Hüsers. J.. (2022). "Automatic Wound Type Classification with Convolutional Neural Networks." International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH). 1(3).
An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcer
Hüsers. J., Moeleken. M., Richter. M. , Przysucha. M., Malihi. L.,. "An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcer." Medical Informatic Europe (MIE). 1(2).
Can Synthetic Images Improve CNN Performance in Wound Image Classification?
MALIHI.L., HÜBNER. U.. (2023). "Can Synthetic Images Improve CNN Performance in Wound Image Classification?." Medical Informatic Europe (MIE).. 1(1).
Analyzing the Inference Process in Deep Convolutional Neural Networks using Principal Eigenfeatures, Saturation and Logistic Regression Probes
Richter M.L, Malihi. L, Windler, A.K.P., Krumnack. U. (2023). "Analyzing the Inference Process in Deep Convolutional Neural Networks using Principal Eigenfeatures, Saturation and Logistic Regression Probes." Journal of Applied Research in Electrical Engineering. 1(1).
Talks
Malaria parasite detection in giemsa-stained blood cell images
Talk at Machine Vision and Image Processing(MVIP) Conference , Zanjan,Iran
Face Recognition Using Vgg16
Talk at Institute of Cognitive Science, Osnabrück university, Osnabrück, Germany
Klix Project
Talk at Institute of Cognitive Science, Osnabrück university, Osnabrück, Germany
Automatic Wound Type Classification with Convolutional Neural Networks
Talk at 20th International Conference on Informatics, Management and Technology in Healthcare, Athens,Greece
Can Synthetic Images Improve CNN Performance in Wound Image Classification?
Talk at Medical Informatics Europe 2023 Conference, Gothenburg, Sweden
Teaching
Service and leadership
- Currently signed in to 43 different slack teams