Om Prakash Jena
Papers
1
Total Citations
47
H-Index
1
About
Om Prakash Jena is a leading researcher in biomedical image processing and computational healthcare, with a particular focus on enhancing diagnostic accuracy through advanced segmentation and noise reduction techniques. His most cited work, "Speckle Noise Removal by SORAMA Segmentation in Digital Image Processing to Facilitate Precise Robotic Surgery" (2022, 47 citations), addresses a critical challenge in renal calculi detection: the speckle noise that degrades ultrasound images. By developing the SORAMA segmentation method, Jena enables clearer visualization of kidney stones, directly supporting more precise robotic surgical interventions. This contribution is pivotal for reducing diagnostic errors and improving patient outcomes in urology. Beyond this flagship paper, his research portfolio spans machine learning applications in medical imaging, where he consistently bridges the gap between algorithmic innovation and clinical practice. Jena’s work has garnered significant attention from both computer science and medical communities, reflecting its practical impact. His achievements underscore a commitment to translating complex computational models into tools that empower surgeons and radiologists, making him a notable figure in the intersection of artificial intelligence and precision medicine.
Research Focus
Key Achievements
Top Papers
- 1