ilyagen@campus.technion.ac.il
ramonilya@gmail.com
Phone: +972-77-887-2334
Room: 355, LD
Ilya Genkin
M.Sc Student
Thesis Title: Geometric modeling and mechanical analysis of cell-scaffold implant
Thesis Advisors:
Principal – Prof. Anath Fisher, CAD & LCE Laboratory, Faculty of Engineering, Technion.
Additional – Prof. Daphne Weihs, Faculty of Biomedical Engineering, Technion.
Additional – Prof. Amit Gefen, Biomedical Engineering Dept., Faculty of Engineering, Tel-Aviv University.
| 3D Segmentation and Classification using Learning Methods | Bio Applications | ||
Classification, Segmentation, and Geometric Analysis of 3D Point Clouds using Deep LearningA new generic approach for over-segmentation in 3D point cloud data in general and specifically adjusted for bone porous micro-structures and their unique properties. Read more…
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Computational diagnosis of Diabetic Macular Edema using deep learning techniques on Optical Coherence Tomography dataPromoting the clinical care of DME, by computational-based quantitative and qualitative analysis of OCT. Applying novel deep-learning methods on OCT data, including volumetric and longitudinal data. Read more…
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Microstructure design and analysis of bio-degradable bone scaffoldsOptimal design of bio-degradable bone scaffolds taking into consideration the scaffolds’ mechanical strength over time as it degrades while living bone cells grow upon it. This geometrical change of shape along with the non-trivial structure makes calculation of structural integrity an intricate task. Read more… |
| Robotics | Man-Machine Interface | Motion Detection | ||
Classification, Segmentation, and Geometric Analysis of 3D Point Clouds using Deep LearningA new generic approach for over-segmentation in 3D point cloud data in general and specifically adjusted for bone porous micro-structures and their unique properties. Read more…
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Classification, Segmentation, and Geometric Analysis of 3D Point Clouds using Deep LearningA new generic approach for over-segmentation in 3D point cloud data in general and specifically adjusted for bone porous micro-structures and their unique properties. Read more…
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Classification, Segmentation, and Geometric Analysis of 3D Point Clouds using Deep LearningA new generic approach for over-segmentation in 3D point cloud data in general and specifically adjusted for bone porous micro-structures and their unique properties. Read more…
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| 3D Parametric Modeling using Learning Methods | ||
Room fragmenting example resultsExplanation on the above research…Explanation on the above research… Explanation on the above research… Explanation on the above research… Explanation on the above research…
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