Bekasi, Indonesia

Evelyne Calista


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: **Evelyne Calista: Innovator in Acute Ischemic Stroke Detection**

Introduction

Evelyne Calista is an inventive force based in Bekasi, Indonesia. With one notable patent to his name, he has made significant contributions to the field of medical technology, specifically in the automated detection of acute ischemic stroke.

Latest Patents

Calista's patented innovation, the "Automated Detection System for Acute Ischemic Stroke," represents a cutting-edge approach to diagnosing this critical medical condition. The system utilizes a preprocessor that performs registration on whole-brain images and a standard-brain spatial template to extract individual brain region masks. A deep learning encoder subsequently conducts feature extraction, transforming whole-brain images into 2D slice images. The subsequent processors work in tandem to map the individual brain masks, compute stroke-related weight values, and use a disparity-aware classifier to assess whether any brain region indicates an acute ischemic stroke.

Career Highlights

Evelyne Calista has been affiliated with prestigious institutions that have bolstered his research and development capabilities. He has worked at National Yang Ming Chiao Tung University and Kaohsiung Chang Gung Memorial Hospital, enhancing his expertise in the medical and technological landscape.

Collaborations

In his professional journey, Calista has collaborated with notable colleagues, including Yong-Sheng Chen and Wei-Che Lin. Together, they have contributed to the advancements in medical imaging and diagnostics through their collective knowledge and efforts.

Conclusion

Evelyne Calista's work in developing a robust automated detection system for acute ischemic stroke reflects his commitment to leveraging technology for healthcare improvements. As he continues to innovate and collaborate, his contributions hold the potential to enhance diagnostic accuracy and patient outcomes in the medical field.

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