Priyanka Rana

13 papers B 1Journal 4Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Artificial intelligence-based approaches for preprocessing, segmentation, and classification in dental radiographs for furcation detection: A comparative analysis.
Comput. Sci. Rev.
Priyanka, Mamta Juneja, Naveen Aggarwal, Manojkumar Jaiswal, Priyanka Rana
2025 J jnl
Classification of mandibular fractures from panoramic radiographs using deep learning.
Multim. Tools Appl.
Uttam Mittal, Padmavati Khandnor, Manojkumar Jaiswal, Katinder Kaur, Priyanka Rana, Shiraz Mangat, Harasees Singh, Prakhar Sharma, Balkaran Singh
2025 — conf
OS2CR-Diff: A Self-Refining Diffusion Framework for CD8 Imputation from One-Step Inference to Conditional Representation.
BIBM
Xingnan Li, Priyanka Rana, Tuba N. Gide, Nurudeen A Adegoke, Yizhe Mao, James S. Wilmott, Sidong Liu
2025 — conf
Stain Imputation in Multiplex Immunofluorescence Imaging (SIMIF) Based on Random Channel-Wise Masking.
ISBI
Xingnan Li, Priyanka Rana, Tuba N. Gide, Nurudeen A Adegoke, Yizhe Mao, Georgina V. Long, Richard A. Scolyer, Shlomo Berkovsky, Enrico W. Coiera, James S. Wilmott, Sidong Liu
2024 — conf
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning.
AIME (2)
Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu
2024 J jnl
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification.
Expert Syst. Appl.
Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
2024 — conf
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research.
AIME (2)
Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu
2023 — —
Analysis of Cellular and Subcellular Morphology using Machine Learning in Microscopy Images.
Priyanka Rana
2023 J jnl
Imbalanced classification for protein subcellular localization with multilabel oversampling.
Bioinform.
Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song
2022 — conf
Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup.
ISBI
Priyanka Rana, Arcot Sowmya, Erik Meijering, Yang Song
2021 — conf
Multi-Label Classification Based On Subcellular Region-Guided Feature Description For Protein Localisation.
ISBI
Priyanka Rana, Erik Meijering, Arcot Sowmya, Yang Song
2019 — conf
Ensemble Learning Approach for Enhanced Stock Prediction.
IC3
Shikha Mehta, Priyanka Rana, Shivam Singh, Ankita Sharma, Parul Agarwal
2017 B conf
Fast diagnosis of bowel activities.
IJCNN
Yi Huang, Insu Song, Priyanka Rana, Guan Koh