Publications

  1. Kuanar S, Cai J, Nakai H, Nagayama H, Takahashi H, LeGout J, Kawashima A, Froemming A, Mynderse L, Dora C, Humphreys M, Klug J, Korfiatis P, Erickson B, Takahashi N. Transition-zone PSA-density calculated from MRI deep learning prostate zonal segmentation model for prediction of clinically significant prostate cancer. Abdom Radiol (NY). 2024 Oct; 49 (10):3722-3734 Epub 2024 June 19
    View PubMed
  2. Cai JC, Nakai H, Kuanar S, Froemming AT, Bolan CW, Kawashima A, Takahashi H, Mynderse LA, Dora CD, Humphreys MR, Korfiatis P, Rouzrokh P, Bratt AK, Conte GM, Erickson BJ, Takahashi N. Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI. Radiology. 2024 Aug; 312 (2):e232635
    View PubMed
  3. Nakai H, Takahashi H, Adamo DA, LeGout JD, Kawashima A, Thomas JV, Froemming AT, Kuanar S, Lomas DJ, Humphreys MR, Dora C, Takahashi N. Decreased prostate MRI cancer detection rate due to moderate to severe susceptibility artifacts from hip prosthesis. Eur Radiol. 2024 May; 34 (5):3387-3399 Epub 2023 Oct 27
    View PubMed
  4. Moassefi M, Rouzrokh P, Conte GM, Vahdati S, Fu T, Tahmasebi A, Younis M, Farahani K, Gentili A, Kline T, Kitamura FC, Huo Y, Kuanar S, Younis K, Erickson BJ, Faghani S. Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review. J Digit Imaging. 2023 Oct; 36 (5):2306-2312 Epub 2023 July 05
    View PubMed
  5. Dwarikanath Mahapatra, Antonio Jose 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, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Springer Nature Switzerland. 2023; 276-286.
  6. Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, KR Rao, Zahid Akhtar, Dipankar Dasgupta. Low dose abdominal CT image reconstruction: An unsupervised learning based approach, IEEE international conference on image processing (ICIP). 2023; 1351-1355.
  7. Shiba Kuanar, Vassilis Athitsos, Dwarikanath Mahapatra, K.R. Rao. Gated fusion network for SAO filter and inter frame prediction in Versatile Video Coding, Elsevier, Signal Processing: Image Communication,. 2022; 109:116839.
  8. Faghani S, Khosravi B, Zhang K, Moassefi M, Jagtap JM, Nugen F, Vahdati S, Kuanar SP, Rassoulinejad-Mousavi SM, Singh Y, Vera Garcia DV, Rouzrokh P, Erickson BJ. Mitigating Bias in Radiology Machine Learning: 3. Performance Metrics. Radiol Artif Intell. 2022 Sep; 4 (5):e220061 Epub 2022 Aug 24
    View PubMed
  9. Shiba Kuanar, Dwarikanath Mahapatra, Monalisa Bilas, KR Rao, Multi-path dilated convolution network for haze and glow removal in nighttime images, The Visual Computer, Springer Berlin Heidelberg,. 2022; 38:1121–1134.
  10. Shiba Kuanar, K.R. Rao, Christopher Conly, Ninad Gorey. Deep learning based HEVC in-loop filter and noise reduction, Elsevier, Signal Processing: Image Communication,. 2021; 99:116409.
  11. Dwarikanath Mahapatra, Shiba Kuanar, Behzad Bozorgtabar, Zongyuan Ge. Self-supervised learning of inter-label geometric relationships for Gleason grade segmentation, Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, Springer International Publishing,. 2021; 57-67.
  12. Dwarikanath Mahapatra, Behzad Bozorgtabar, Shiba Kuanar, Zongyuan Ge. Self-supervised multimodal generalized zero shot learning for gleason grading Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health: Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, Springer International Publishing,. 2021; 46-56.
  13. Manob Jyoti Saikia, Shiba Kuanar, Debanjan Borthakur, Maria Vinti, Thupten Tendhar. A machine learning approach to classify working memory load from optical neuroimaging data, SPIE, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics,. 2021; 11629:157-164.
  14. Kuanar Shiba, Rao K.R,, Bilas Monalisa, Jonathan Bredow. Adaptive CU mode selection in HEVC intra prediction: A deep learning approach, Springer, Circuits, systems, and signal processing. 2019; 38:5081–5102.
  15. Shiba Kuanar, KR Rao, Christopher Conly. Fast mode decision in HEVC intra prediction, using region wise CNN feature classification, IEEE International Conference on Multimedia & Expo (ICMEW). 2018; 1-4.
  16. Shiba Kuanar, Christopher Conly, KR Rao. Deep learning based HEVC in-loop filtering for decoder quality enhancement, IEEE, Picture Coding Symposium (PCS). 2018.