Priyanka Rana

According to our database, Priyanka Rana authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification.

Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song

Expert Syst. Appl., 2024

Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research.

Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning.

Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Imbalanced classification for protein subcellular localization with multilabel oversampling.

Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song

Bioinform., January, 2023

Analysis of Cellular and Subcellular Morphology using Machine Learning in Microscopy Images.

Priyanka Rana

PhD thesis, 2023

2022

Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup.

Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Multi-Label Classification Based On Subcellular Region-Guided Feature Description For Protein Localisation.

Priyanka Rana, Erik Meijering, Arcot Sowmya, Yang Song

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Ensemble Learning Approach for Enhanced Stock Prediction.

Shikha Mehta, Priyanka Rana, Shivam Singh, Ankita Sharma, Parul Agarwal

Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

2017

Fast diagnosis of bowel activities.

Yi Huang, Insu Song, Priyanka Rana, Guan Koh

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017