I am a PhD Candidate in EECS International Graduate Program of National Yang Ming Chiao Tung University (Taiwan). My research interest revolves around the usage of Deep Learning and Computer Vision for solving medical problems. I got my M.Sc in Biomedical Engineering from NTUST (Taiwan, 2018) and finished my B.Eng at Airlanga University (Indonesia, 2015).

• Tri-VAE: Triplet Variational Autoencoder for Unsupervised Anomaly Detection in Brain Tumor MRI - Accepted at VAND 2.0 workshop in conjuction with CVPR 2024
  • Hansen Wijanarko, Evelyne Calista, Li-Fen Chen, Yong-Sheng Chen
• A Benchmark for Comparing Precision Medicine Methods in Thyroid Cancer Diagnosis using Tissue Microarrays - Bioinformatics 2018 [pdf]
  • Ching-Wei Wang, Yu-Ching Lee, Evelyne Calista, Fan Zhou, Hongtu Zhu, Ryohei Suzuki, Daisuke Komura, Shumpei Ishikawa, Shih-Ping Cheng
• A Grand Challenge for Tissue Microarray Analysis in Thyroid Cancer Diagnosis - ISBI 2017 [web]
  • Ching-Wei Wang, Yu-Ching Lee, Evelyne Calista, Shih-Ping Cheng
• Detection of Acute Lymphocyte Leukemia using K-Nearest Neighbor Algorithm Based on Shape and Histogram Features - IOP Journal of Physics: Conference Series, 2016 [pdf]
  • Endah Purwanti and Evelyn Calista
• Study of MRI Image Texture of Brain Tumors to Minimize False Diagnosis
  • Anggrek Citra Nusantara, Evelyne Calista, Madhanayu Putri Tarista, Zulfa Az-Zakiyah R., Endah Purwanti

evelynecalista [at] gmail [dot] com or evelynecalista[dot]bt09 [at] nycu [dot] edu [dot] tw