@inproceedings{song2017protein,
  title={Protein shape retrieval: SHREC'17 track},
  author={Song, Na and Craciun, Daniela and Christoffer, Charles W and Han, Xusi and Kihara, Daisuke and Levieux, Guillaume and Montes, Matthieu and Qin, Hong and Sahu, Pranjal and Terashi, Genki and others},
  booktitle={Proceedings of the Workshop on 3D Object Retrieval},
  pages={67--74},
  year={2017},
  organization={Eurographics Association}
}

@article{sahu2018lightweight,
  title={A lightweight multi-section CNN for lung nodule classification and malignancy estimation},
  author={Sahu, Pranjal and Yu, Dantong and Dasari, Mallesham and Hou, Fei and Qin, Hong},
  journal={IEEE journal of biomedical and health informatics},
  volume={23},
  number={3},
  pages={960--968},
  year={2018},
  publisher={IEEE}
}

@inproceedings{dasari2020streaming,
  title={Streaming 360-Degree Videos Using Super-Resolution},
  author={Dasari, Mallesham and Bhattacharya, Arani and Vargas, Santiago and Sahu, Pranjal and Balasubramanian, Aruna and Das, Samir R},
  booktitle={IEEE INFOCOM 2020-IEEE Conference on Computer Communications},
  pages={1977--1986},
  year={2020},
  organization={IEEE}
}

@inproceedings{sahu2018apply,
  title={Apply lightweight deep learning on internet of things for low-cost and easy-to-access skin cancer detection},
  author={Sahu, Pranjal and Yu, Dantong and Qin, Hong},
  booktitle={Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications},
  volume={10579},
  pages={1057912},
  year={2018},
  organization={International Society for Optics and Photonics}
}

@inproceedings{sahu2019using,
  title={Using Virtual Digital Breast Tomosynthesis for De-Noising of Low-Dose Projection Images},
  author={Sahu, Pranjal and Huang, Hailiang and Zhao, Wei and Qin, Hong},
  booktitle={2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)},
  pages={1647--1651},
  year={2019},
  organization={IEEE}
}

@article{sahu2020structure,
  title={Structure Correction for Robust Volume Segmentation in Presence of Tumors},
  author={Sahu, Pranjal and Zhao, Yiyuan and Bhatia, Parmeet and Bogoni, Luca and Jerebko, Anna and Qin, Hong},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2020},
  publisher={IEEE}
}

@inproceedings{huang2020effect,
  title={Effect of scatter correction on image noise in contrast-enhanced digital breast tomosynthesis},
  author={Huang, Hailiang and Duan, Xiaoyu and Sahu, Pranjal and Zhao, Wei},
  booktitle={15th International Workshop on Breast Imaging (IWBI2020)},
  volume={11513},
  pages={115130J},
  year={2020},
  organization={International Society for Optics and Photonics}
}

@inproceedings{duan2020scatter,
  title={Scatter correction with deep learning approach for contrast enhanced digital breast tomosynthesis (CEDBT) in both cranio-caudal (CC) view and mediolateral oblique (MLO) view},
  author={Duan, Xiaoyu and Sahu, Pranjal and Huang, Hailiang and Zhao, Wei},
  booktitle={15th International Workshop on Breast Imaging (IWBI2020)},
  volume={11513},
  pages={115130Q},
  year={2020},
  organization={International Society for Optics and Photonics}
}

@inproceedings{sahu2018operando,
  title={In-Operando Tracking and Prediction of Transition in Material System using LSTM},
  author={Sahu, Pranjal and Yu, Dantong and Yager, Kevin and Dasari, Mallesham and Qin, Hong},
  booktitle={Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science},
  pages={1--4},
  year={2018}
}