Pranjal Sahu

According to our database1, Pranjal Sahu authored at least 18 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




3D Fourier Domain Adaptation for Improving CBCT Tooth Segmentation Under Scanner Parameter Shift.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Offence Detection in Dravidian Languages Using Code-Mixing Index-Based Focal Loss.
SN Comput. Sci., 2022

DeepMTL Pro: Deep Learning Based Multiple Transmitter Localization and Power Estimation.
Pervasive Mob. Comput., 2022

A Multi-modal Approach to Mining Intent from Code-Mixed Hindi-English Calls in the Hyperlocal-Delivery Domain.
Proceedings of the Speech and Computer - 24th International Conference, 2022

Wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection.
Proceedings of the Applications of Medical Artificial Intelligence, 2022

Structure Correction for Robust Volume Segmentation in Presence of Tumors.
IEEE J. Biomed. Health Informatics, 2021

DeepMTL Pro: Deep Learning Based MultipleTransmitter Localization and Power Estimation.
CoRR, 2021

Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss.
CoRR, 2021

DeepMTL: Deep Learning Based Multiple Transmitter Localization.
Proceedings of the 22nd IEEE International Symposium on a World of Wireless, 2021

Interactive Smoothing Parameter Optimization in DBT Reconstruction Using Deep Learning.
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.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Transfer Learning for Oral Cancer Detection using Microscopic Images.
CoRR, 2020

Streaming 360-Degree Videos Using Super-Resolution.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

A Lightweight Multi-Section CNN for Lung Nodule Classification and Malignancy Estimation.
IEEE J. Biomed. Health Informatics, 2019

Handcrafted vs Deep Learning Classification for Scalable Video QoE Modeling.
CoRR, 2019

Using Virtual Digital Breast Tomosynthesis for De-Noising of Low-Dose Projection Images.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

In-Operando Tracking and Prediction of Transition in Material System using LSTM.
Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

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