Develop medical image processing algorithms, deep learning models, and CUDA GPU accelerations for medical imaging solutions.
Key Responsibilities
- Develop and optimize image processing algorithms for medical imaging and radiotherapy applications.
- Implement machine learning and deep learning algorithms for image feature extraction, segmentation, and enhancement.
- Write high-performance, modular C++ code adhering to Object-Oriented Programming (OOP) standards.
- Utilize GPU programming with CUDA to accelerate real-time medical image processing routines.
- Handle DICOM, NIfTI, and standard medical image formats using frameworks like ITK, SimpleITK, and 3D Slicer.
- Collaborate with clinical physicists and software engineers for integration into clinical applications.
Qualifications & Requirements
- BE / B Tech & ME / M Tech in Biomedical Engineering / Medical Electronics / Computer Science.
- 1 to 5 years of experience in image processing, computer vision, or medical imaging software.
- Solid proficiency in C++, OOP concepts, machine learning, and deep learning algorithms.
- Hands-on experience with GPU programming using CUDA.
- Familiarity with medical imaging standards (DICOM, NIfTI) and toolkits (ITK, SimpleITK, 3D Slicer) preferred.
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