Pranjal Sahu
Email: psahu@cs.stonybrook.edu

I did my PhD in Computer Science under the guidance of Dr. Hong Qin at Stony Brook University. My research focus is on Deep Learning applications in the field of Biomedical Imaging. Some of the problems which I work on include image classification, projection de-noising, volume reconstruction etc. I did my summer internship at Siemens Healthineers, Malvern in 2019 and 2020 where I worked on pathological lung volume segmentation from CT scans.

I did my Bachelors (Hons) in Computer Science from IIT Kharagpur in 2013 and later gained experience in software development working in startups for 3 years. I was fortunate to take Computer Vision and Computer Graphics courses under Dr. Rajiv Ranjan Sahay and Dr. Jayanta Mukhopadhyay at IIT Kharagpur which motivated me to pursue PhD in this field. I am active on Twitter where I regularly share interesting blog posts and resources related to Deep Learning, Computer Vision, Computer Graphics and Optimization.

I defended my PhD thesis in May 2021 and will be joining Kitware as Senior R&D Engineer in Carrboro, NC.

CV | Google Scholar | Github | Twitter | LinkedIn | ResearchGate | PhD Thesis

Journal Publications
sym

Structure Correction for Robust Volume Segmentation in Presence of Tumors
Pranjal Sahu, Yiyuan Zhao, Parmeet Bhatia, Luca Bogoni, Anna Jerebko, and Hong Qin

abstract | pdf | bibtex
IEEE Journal of Biomedical and Health Informatics, J-BHI
, 2020
Impact Factor: 5.180

@article{9122557,
  author={P. {Sahu} and Y. {Zhao} and P. {Bhatia} 
  and L. {Bogoni} and A. {Jerebko} and H. {Qin}},
  journal={IEEE Journal of Biomedical and Health Informatics}, 
  title={Structure Correction for Robust Volume 
  Segmentation in Presence of Tumors}, 
  year={2020},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/JBHI.2020.3004296}}
sym

A Lightweight Multi-section CNN for Lung Nodule Classification and Malignancy Estimation
Pranjal Sahu, Dantong Yu, Mallesham Dasari, Fei Hou and Hong Qin

abstract | pdf | bibtex
IEEE Journal of Biomedical and Health Informatics, J-BHI
, 2018
Impact Factor: 5.180

@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}
}
Conference Publications
@inproceedings{Song2017SHREC17TP,
  title={SHREC\9217 Track: Protein Shape Retrieval},
  author={Na Song and Daniela Craciun and 
  Charles Christoffer and Xusi Han and 
  Daisuke Kihara and Guillaume Levieux 
  and Matthieu Montes and Hong Qin and 
  Pranjal Sahu and Genki Terashi and 
  Haiguang Liu},
  year={2017}
}
sym

[NEW] Stabilized Semi-Supervised Training for COVID Lesion Segmentation
Pranjal Sahu, Vunnava Saikiran Kumar, and Hong Qin

abstract | pdf | bibtex
The British Machine Vision Conference, BMVC
, 2021

@inproceedings{sahu2021interactive,
  title={Interactive Smoothing Parameter Optimization in DBT Reconstruction Using Deep Learning},
  author={Sahu, Pranjal and Kumar, Vunnava Saikiran and Qin, Hong},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2021}
}

      
sym

[NEW] Interactive Smoothing Parameter Optimization in DBT Reconstruction using Deep learning
Pranjal Sahu, Hailiang Huang, Wei Zhao, and Hong Qin

abstract | pdf | bibtex
Medical Image Computing and Computer Assisted Intervention, MICCAI
, 2021

@inproceedings{sahu2021interactive,
  title={Interactive Smoothing Parameter Optimization in DBT Reconstruction Using Deep Learning},
  author={Sahu, Pranjal and Huang, Hailiang and Zhao, Wei and Qin, Hong},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages={57--67},
  year={2021},
  organization={Springer}
}

      
sym

Streaming 360-Degree Videos Using Super-Resolution
Mallesham Dasari, Arani Bhattacharya, Santiago Vargas, Pranjal Sahu, et al.

abstract | pdf | bibtex
INFOCOM, 2020

@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}
}
sym

Scatter correction with deep learning approach for contrast enhanced digital breast tomosynthesis (CEDBT) in both cranio-caudal (CC) view and mediolateral oblique (MLO) view
Xiaoyu Duan, Pranjal Sahu, Hailiang Huang, Wei Zhao

abstract | pdf | bibtex
IWBI, 2020 (Oral)

@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}
}
sym

Using virtual digital breast tomosynthesis for de-noising of low-dose projection images
Pranjal Sahu, Hailiang Huang, Wei Zhao and Hong Qin

abstract | pdf | bibtex
IEEE International Symposium on Biomedical Imaging, ISBI, 2019

@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}
}
sym

Apply lightweight deep learning on internet of things for low-cost and easy-to-access skin cancer detection
Pranjal Sahu, Dantong Yu, Hong Qin

abstract | pdf | bibtex
Medical Imaging, SPIE, 2018 (Best Demo Award)

  @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}
}
Teaching
pacman

CSE 328: Fundamentals of Computer Graphics
Instructor: Dr. Hong Qin

CSE 377: Medical Imaging
Instructor: Dr. Allen Tannenbaum

Awards and Talks
  • Invited to give talk at Bell labs, Murray Hill on Deep Learning applications in Medical Imaging (2019)
  • Computer Science Chairman Fellowship (2016-2017)
  • Best Demo Award in SPIE Medical Imaging, Houston (2018)
  • Represented (C.G.) state in National Children Science Congress, Guwahati (2005)