Raghav Mehta

According to our database1, Raghav Mehta authored at least 17 papers between 2016 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.
IEEE Trans. Medical Imaging, 2022

Information Gain Sampling for Active Learning in Medical Image Classification.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

Sub-cortical structure segmentation database for young population.
CoRR, 2021

HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021

2020
Uncertainty Evaluation Metric for Brain Tumour Segmentation.
CoRR, 2020

2019
Hybrid Cell Assignment and Sizing for Power, Area, Delay-Product Optimization of SRAM Arrays.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Propagating Uncertainty Across Cascaded Medical Imaging Tasks for Improved Deep Learning Inference.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Improving Pathological Structure Segmentation via Transfer Learning Across Diseases.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

NormCo: Deep Disease Normalization for Biomedical Knowledge Base Construction.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

2018
3D U-Net for Brain Tumour Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

To Learn or Not to Learn Features for Deformable Registration?
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

High performance training of deep neural networks using pipelined hardware acceleration and distributed memory.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

2017
M-net: A Convolutional Neural Network for deep brain structure segmentation.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
A hybrid approach to tissue-based intensity standardization of brain MRI images.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016


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