Pranjal Sahu

According to our database, Pranjal Sahu authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

3D Fourier Domain Adaptation for Improving CBCT Tooth Segmentation Under Scanner Parameter Shift.

Pranjal Sahu, James Fishbaugh, Jared Vicory, Asma Khan, Beatriz Paniagua

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Offence Detection in Dravidian Languages Using Code-Mixing Index-Based Focal Loss.

Debapriya Tula, Shreyas MS, Viswanatha Reddy, Pranjal Sahu, Sumanth Doddapaneni, Prathyush Potluri, Rohan Sukumaran, Parth Patwa

SN Comput. Sci., 2022

DeepMTL Pro: Deep Learning Based Multiple Transmitter Localization and Power Estimation.

Caitao Zhan, Mohammad Ghaderibaneh, Pranjal Sahu, Himanshu Gupta

Pervasive Mob. Comput., 2022

A Multi-modal Approach to Mining Intent from Code-Mixed Hindi-English Calls in the Hyperlocal-Delivery Domain.

Jose Mathew, Pranjal Sahu, Bhavuk Singhal, Aniket Joshi, Krishna Reddy Medikonda, Jairaj Sathyanarayana

Proceedings of the Speech and Computer - 24th International Conference, 2022

Automated fractured femur segmentation using CNN.

Jared Vicory, Pranjal Sahu, Hwabok Wee, Hannah Nam, Avani Chopra, Spence Reid, Gregory S. Lewis, Sreekanth Arikatla

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Thin shell demons for dental scan registration.

Pranjal Sahu, Samuel Gerber, Qingyu Zhao, Tung Nguyen, Matt McCormick, Beatriz Paniagua, Jared Vicory

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection.

Pranjal Sahu, Jared Vicory, Matt McCormick, Asma Khan, Hassem Geha, Beatriz Paniagua

Proceedings of the Applications of Medical Artificial Intelligence, 2022

2021

Structure Correction for Robust Volume Segmentation in Presence of Tumors.

Pranjal Sahu, Yiyuan Zhao, Parmeet S. Bhatia, Luca Bogoni, Anna K. Jerebko, Hong Qin

IEEE J. Biomed. Health Informatics, 2021

DeepMTL Pro: Deep Learning Based MultipleTransmitter Localization and Power Estimation.

Caitao Zhan, Mohammad Ghaderibaneh, Pranjal Sahu, Himanshu Gupta

CoRR, 2021

Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss.

Debapriya Tula, Shreyas MS, Viswanatha Reddy, Pranjal Sahu, Sumanth Doddapaneni, Prathyush Potluri, Rohan Sukumaran, Parth Patwa

CoRR, 2021

DeepMTL: Deep Learning Based Multiple Transmitter Localization.

Caitao Zhan, Mohammad Ghaderibaneh, Pranjal Sahu, Himanshu Gupta

Proceedings of the 22nd IEEE International Symposium on a World of Wireless, 2021

Interactive Smoothing Parameter Optimization in DBT Reconstruction Using Deep Learning.

Pranjal Sahu, Hailiang Huang, Wei Zhao, Hong Qin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Stabilized Semi-Supervised Training for COVID Lesion Segmentation.

Pranjal Sahu, Saikiran Kumar Vunnava, Hong Qin

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Transfer Learning for Oral Cancer Detection using Microscopic Images.

Rutwik Palaskar, Renu Vyas, Vilas Khedekar, Sangeeta Palaskar, Pranjal Sahu

CoRR, 2020

Streaming 360-Degree Videos Using Super-Resolution.

Mallesham Dasari, Arani Bhattacharya, Santiago Vargas, Pranjal Sahu, Aruna Balasubramanian, Samir R. Das

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation.

Pranjal Sahu, Dantong Yu, Mallesham Dasari, Fei Hou, Hong Qin

IEEE J. Biomed. Health Informatics, 2019

Handcrafted vs Deep Learning Classification for Scalable Video QoE Modeling.

Mallesham Dasari, Christina Vlachou, Shruti Sanadhya, Pranjal Sahu, Yang Qiu, Kyu-Han Kim, Samir R. Das

CoRR, 2019

Using Virtual Digital Breast Tomosynthesis for De-Noising of Low-Dose Projection Images.

Pranjal Sahu, Hailiang Huang, Wei Zhao, Hong Qin

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

In-Operando Tracking and Prediction of Transition in Material System using LSTM.

Pranjal Sahu, Dantong Yu, Kevin G. Yager, Mallesham Dasari, Hong Qin

Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

2017

Protein Shape Retrieval.

Na Song, Daniela Craciun, Charles Christoffer, Xusi Han, Daisuke Kihara, Guillaume Levieux, Matthieu Montès, Hong Qin, Pranjal Sahu, Genki Terashi, Haiguang Liu

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017