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ORCIDShiba Kuanar
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- affiliation (PhD 2018): University of Texas at Arlington, TX, USA
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2020 – today
- 2023
[j5]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, Shiba Kuanar, Khaled Younis, Bradley J. Erickson, Shahriar Faghani:
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. J. Imaging Inform. Medicine 36(5): 2306-2312 (2023)- [c7]Dwarikanath Mahapatra, Antonio José Jimeno-Yepes, Shiba Kuanar, Sudipta Roy, Behzad Bozorgtabar, Mauricio Reyes, Zongyuan Ge:
Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification. MICCAI (2) 2023: 276-286 - 2022
- [j4]Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, K. R. Rao:
Gated fusion network for SAO filter and inter frame prediction in Versatile Video Coding. Signal Process. Image Commun. 109: 116839 (2022) - [j3]Shiba Kuanar, Dwarikanath Mahapatra, Monalisa Bilas, K. R. Rao:
Multi-path dilated convolution network for haze and glow removal in nighttime images. Vis. Comput. 38(3): 1121-1134 (2022) - 2021
- [j2]Shiba Kuanar, K. R. Rao, Christopher Conly, Ninad Gorey:
Deep learning based HEVC in-loop filter and noise reduction. Signal Process. Image Commun. 99: 116409 (2021) - [c6]Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge:
Self-supervised Multimodal Generalized Zero Shot Learning for Gleason Grading. DART/FAIR@MICCAI 2021: 46-56 - [c5]Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge:
Self-supervised Learning of Inter-label Geometric Relationships for Gleason Grade Segmentation. DART/FAIR@MICCAI 2021: 57-67 - [i2]Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, Anand Rajan:
Multi-scale Deep Learning Architecture for Nucleus Detection in Renal Cell Carcinoma Microscopy Image. CoRR abs/2104.13557 (2021)
2010 – 2019
- 2019
- [j1]Shiba Kuanar, K. R. Rao, Monalisa Bilas, Jonathan Bredow:
Adaptive CU Mode Selection in HEVC Intra Prediction: A Deep Learning Approach. Circuits Syst. Signal Process. 38(11): 5081-5102 (2019) - [c4]Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, K. R. Rao, Zahid Akhtar, Dipankar Dasgupta:
Low Dose Abdominal CT Image Reconstruction: An Unsupervised Learning Based Approach. ICIP 2019: 1351-1355 - [i1]Shiba Kuanar, K. R. Rao, Dwarikanath Mahapatra, Monalisa Bilas:
Night Time Haze and Glow Removal using Deep Dilated Convolutional Network. CoRR abs/1902.00855 (2019) - 2018
- [c3]Shiba Kuanar, Vassilis Athitsos, Nityananda Pradhan, Arabinda Mishra, K. R. Rao:
Cognitive Analysis of Working Memory Load from Eeg, by a Deep Recurrent Neural Network. ICASSP 2018: 2576-2580 - [c2]Shiba Kuanar, K. R. Rao, Christopher Conly:
Fast Mode Decision In Hevc Intra Prediction, Using Region Wise CNN Feature Classification. ICME Workshops 2018: 1-4 - [c1]Shiba Kuanar, Christopher Conly, K. R. Rao:
Deep Learning Based HEVC In-Loop Filtering for Decoder Quality Enhancement. PCS 2018: 164-168
Coauthor Index
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