MANJUNATH K N
Manipal Academy of Higher Education, Manipal Institute of Technology, Manipal College of European Studies, DVS Composite PU college
0000-0001-8239-4047
About
Associate Professor in Computer Science and Engineering. Have 7.3 years of industrial experience (medical imaging applications) at various positions, 5 years of research (Ph.D.), 2 years as Project Manager in a government funded project and four years of academic teaching experiences. I am a passionate researcher working on developing low-cost medical imaging software products. My research interests are, Medical Image processing, Diagnostic Imaging Modality Big Data Analytics, Radiation Oncology workflow, DICOM, Machine Learning in Radiology images, Cancer diagnosis using medical imaging modalities, Software design, development, Agile and Lean Methodologies, and Elevating research prototypes to a medical software product, IEC 62304. A senior member in I.E.E.E, Corresponding member of European Society of Radiology (Vienna), Korean Society of Radiology (Seoul), and life member of Bio-medical Engineering Society of India. Have volunteered in various FDP for the benefit of the Students and the Faculties.
Employment
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Manipal Academy of Higher Education Project Manager2024 - Present
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Manipal Institute of Technology Associate Professor2019 - Present
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Manipal Institute of Technology Assistant Professor Senior Scale2018 - Present
Education
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Manipal College of European Studies Certificate course in German Language A1 level (as per CEFR)2014 - 2014
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DVS Composite PU college Pre University1996 - 1998
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- Correction: Machine Translation in Natural Language Processing (1948–2025): a Systematic Survey of Methods, Benchmarks, Neural Machine Translation Advances, Challenges and Future Directions Save
- Machine Translation in Natural Language Processing (1948–2025): a Systematic Survey of Methods, Benchmarks, Neural Machine Translation Advances, Challenges and Future Directions Save
- Segmentation for pelvic malignancies in radiation oncology practice: a systematic review and meta-analysis protocol Save
- Classifying non-smokers and smokers on chest X-ray using baseline convolutional neural networks and VGG16 Save
- Steganography Techniques in Medical Images, a Systematic Review Save
- Hybrid MobileNetV2–vision transformer approach for multi-label classification of chest X-rays Save
- Segmentation and Volumetric Analysis of Heart from Cardiac CT Images Save
- Preprocessing Techniques for Rectal Cancer Diagnosis using MR Images Save
- Comparison of machine learning and deep learning methods for detection of liver abnormality Save
- Localization of lung abnormalities on chest X-rays using self-supervised equivariant attention Save