Artem Mikheev Email & Phone Number

New York, NY, US

New York, New York, United States

• Deep Learning solutions using LibTorch with C++
• Developed an integrated imaging application, FireVoxel a 3D\4D GUI based multi-processor, high-performance volume processing under MS Windows (MFC), covering image analysis needs of the department.
• Processing of PET exams, parametric map calculations, co-registration to MRI.
• Developed general purpose system for the analysis of dynamic imaging experiment for MRI, PET and CT, w\wo input function. Analysis of large 4D datasets representing sequences of 3D Volumes. Implemented 20+ numerous.
• Developed ultra-fast automatic brain segmentation algorithm with 2% precision compared to human segmentation. Received US and international patent for this technology.
• Invented and implemented a novel MRI non-uniformity correction tool, BiCal, that substantially exceeds a de-facto standard N3 (2-3 times by measure of non-uniformity) on 7T MRI.

Developed the image scaling method. This method is based on detecting the edges of the images and preserving them during the scaling. It is used by CELARTEM and Extensis in “pxl SmartScale” Adobe Photoshop Plug-in. Received an US Patent for this invention2 Researched and developed a novel lossless image compression algorithm exceeding compression ratios of.

Developed monochrome image filtering technology based on object recognition. Text areas on Land maps were scanned with electronic pen. Resulting image contains a lot of noise and non-text objects such as lines, which overlap text objects of interest. This non-context recognition is able to extract text from such cluttered image in real time (less than 1.

Designed TSID file format. It allowed to work with the mosaic of wavelet compressed images up to 500GB. Optimized Arithmetic Decoder with 6X speed improvement over IBM’s implementation. Designed and implemented Compression Virtual Printer Driver. It allowed virtual printing from any Windows application to compressed image formats such as JPEG2000 and DjVu..

Developed numerous updates and completely supported imaging technology inside the CADdy++ product line (the leading CAD system on German market at that time).Designed and implemented “CADdy++ Vektorisierung” raster-to-vector conversion system for scanned engineering drawings. This system streamlined the process of converting legacy paper documents into.

Developed and integrated the API for semi-automatic drawing tracing and recognition. Delivered advanced “Object Snapping” technology for digitizing raster images. The operator would need to point only to the vicinity of the document feature (such as map grid marks) and the system would recognize the object and correct the input coordinates with high.

Moscow, Russian Federation

Low level EGA\VGA graphics library written in x86 assembly. CAD raster-to-vector automatic conversion system development.

Bachelor Of Science, Engineering Physics

High School, Physics And Math