Neeraj Dhungel

According to our database, Neeraj Dhungel authored at least 14 papers between 2015 and 2019.

Collaborative distances:

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

2019

Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss.

Fatemeh Taheri Dezaki, Zhibin Liao, Christina Luong, Hany Girgis, Neeraj Dhungel, Amir H. Abdi, Delaram Behnami, Ken Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang

IEEE Trans. Medical Imaging, 2019

Designing lightweight deep learning models for echocardiography view classification.

Hooman Vaseli, Zhibin Liao, Amir H. Abdi, Hany Girgis, Delaram Behnami, Christina Luong, Fatemeh Taheri Dezaki, Neeraj Dhungel, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang

Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019

2017

Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms.

Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

A deep learning approach for the analysis of masses in mammograms with minimal user intervention.

Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Medical Image Anal., 2017

Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms.

Fatemeh Taheri Dezaki, Neeraj Dhungel, Amir H. Abdi, Christina Luong, Teresa Tsang, John Jue, Ken Gin, Dale Hawley, Robert Rohling, Purang Abolmaesumi

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Multi-scale mass segmentation for mammograms via cascaded random forests.

Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Fully automated classification of mammograms using deep residual neural networks.

Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features.

Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach.

Zhi Lu, Gustavo Carneiro, Neeraj Dhungel, Andrew P. Bradley

CoRR, 2016

The Automated Learning of Deep Features for Breast Mass Classification from Mammograms.

Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms.

Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms.

Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Deep structured learning for mass segmentation from mammograms.

Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests.

Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015