Neeraj Dhungel

Publication Activity (10 Years)

Years Active: 2014-2019
Publications (10 Years): 9

Top Topics

Automated Classification

Top Venues

Medical Image Anal.

Publications

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
Designing lightweight deep learning models for echocardiography view classification. Medical Imaging: Image-Guided Procedures (2019)
Fatemeh Taheri Dezaki, Zhibin Liao, Christina Luong, Hany Girgis, Neeraj Dhungel, Amir H. Abdi, Delaram Behnami, Ken Gin, Robert Rohling, Purang Abolmaesumi, Teresa Tsang
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss. IEEE Trans. Medical Imaging 38 (8) (2019)
Hang Min, Shekhar S. Chandra, Neeraj Dhungel, Stuart Crozier, Andrew P. Bradley
Multi-scale mass segmentation for mammograms via cascaded random forests. ISBI (2017)
Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
Fully automated classification of mammograms using deep residual neural networks. ISBI (2017)
Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
A deep learning approach for the analysis of masses in mammograms with minimal user intervention. Medical Image Anal. 37 (2017)
Fatemeh Taheri Dezaki, Neeraj Dhungel, Amir H. Abdi, Christina Luong, Teresa Tsang, John Jue, Ken Gin, Dale Hawley, Robert Rohling, Purang Abolmaesumi
Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms. DLMIA/ML-CDS@MICCAI (2017)
Jaime S. Cardoso, Nuno Marques, Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. ICIP (2017)
Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
The Automated Learning of Deep Features for Breast Mass Classification from Mammograms. MICCAI (2) (2016)
Zhi Lu, Gustavo Carneiro, Neeraj Dhungel, Andrew P. Bradley
Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach. CoRR (2016)
Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms. ISBI (2015)
Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. MICCAI (1) (2015)
Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
Deep structured learning for mass segmentation from mammograms. ICIP (2015)
Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests. DICTA (2015)
Neeraj Dhungel, Gustavo Carneiro, Andrew P. Bradley
Deep Structured learning for mass segmentation from Mammograms. CoRR (2014)