Cognitive Analysis of Working Memory Load from Eeg, by a Deep Recurrent Neural Network. - Shiba Kuanar; Vassilis Athitsos; Nityananda Pradhan; Arabinda Mishra; K. R. Rao 001 (ICASSP, 2018)

Fast Mode Decision In Hevc Intra Prediction, Using Region Wise CNN Feature Classification. - Shiba Kuanar; K. R. Rao 001; Christopher Conly (ICME Workshops, 2018)

Deep Learning Based HEVC In-Loop Filtering for Decoder Quality Enhancement. - Shiba Kuanar; Christopher Conly; K. R. Rao 001 (PCS, 2018)

Low Dose Abdominal CT Image Reconstruction: An Unsupervised Learning Based Approach. - Shiba Kuanar; Vassilis Athitsos; Dwarikanath Mahapatra; K. R. Rao 001; Zahid Akhtar; Dipankar Dasgupta (ICIP, 2019)

Night Time Haze and Glow Removal using Deep Dilated Convolutional Network. - Shiba Kuanar; K. R. Rao 001; Dwarikanath Mahapatra; Monalisa Bilas (CoRR, 2019)

Adaptive CU Mode Selection in HEVC Intra Prediction: A Deep Learning Approach. - Shiba Kuanar; K. R. Rao 001; Monalisa Bilas; Jonathan Bredow (Circuits Syst. Signal Process., 2019)

Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. - Dwarikanath Mahapatra; Behzad Bozorgtabar; Shiba Kuanar; Zongyuan Ge (DART/FAIR@MICCAI, 2021)

Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. - Dwarikanath Mahapatra; Shiba Kuanar; Behzad Bozorgtabar; Zongyuan Ge (DART/FAIR@MICCAI, 2021)

Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image. - Shiba Kuanar; Vassilis Athitsos; Dwarikanath Mahapatra; Anand Rajan (CoRR, 2021)

Deep learning based HEVC in-loop filter and noise reduction. - Shiba Kuanar; K. R. Rao 001; Christopher Conly; Ninad Gorey (Signal Process. Image Commun., 2021)

Gated fusion network for SAO filter and inter frame prediction in Versatile Video Coding. - Shiba Kuanar; Vassilis Athitsos; Dwarikanath Mahapatra; K. R. Rao 001 (Signal Process. Image Commun., 2022)

Multi-path dilated convolution network for haze and glow removal in nighttime images. - Shiba Kuanar; Dwarikanath Mahapatra; Monalisa Bilas; K. R. Rao 001 (Vis. Comput., 2022)

Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. - Dwarikanath Mahapatra; Antonio José Jimeno-Yepes; Shiba Kuanar; Sudipta Roy 002; Behzad Bozorgtabar; Mauricio Reyes 001; Zongyuan Ge (MICCAI (2), 2023)

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. - Mana Moassefi; Pouria Rouzrokh; Gian Marco Conte; Sanaz Vahdati; Tianyuan Fu; Aylin Tahmasebi; Mira Younis; Keyvan Farahani; Amilcare Gentili; Timothy Kline; Felipe C. Kitamura; Yuankai Huo; et al. (J. Imaging Inform. Medicine, 2023)

Advanced Deep Learning in Medical Imaging: Brain Tumor Detection and Localization with YOLOv9. - Abdussalam Elhanashi; Sergio Saponara; Pierpaolo Dini; Qinghe Zheng; Farzana Z. Ali; Yashbir Singh; Shiba Kuanar; Yuankai Huo; Khaled Younis (ApplePies, 2024)

Early Stroke Detection: A Mobile Application for Real-Time Stroke Diagnosis Using Video and Lightweight Deep Learning. - Abdussalam Elhanashi; Massimiliano Donati; Sergio Saponara; Qinghe Zheng; Yuankai Huo; Yashbir Singh; Farzana Z. Ali; Shiba Kuanar; Orhan Unal; Khaled Younis (ISMICT, 2025)