Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (DICTA, 2015)

Deep structured learning for mass segmentation from mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ICIP, 2015)

Tree RE-weighted belief propagation using deep learning potentials for mass segmentation from mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ISBI, 2015)

Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (MICCAI (1), 2015)

The Automated Learning of Deep Features for Breast Mass Classification from Mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (MICCAI (2), 2016)

Automated Detection of Individual Micro-calcifications from Mammograms using a Multi-stage Cascade Approach. - Zhi Lu; Gustavo Carneiro 001; Neeraj Dhungel; Andrew P. Bradley (CoRR, 2016)

Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features. - Jaime S. Cardoso 001; Nuno Marques; Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ICIP, 2017)

Fully automated classification of mammograms using deep residual neural networks. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (ISBI, 2017)

Multi-scale mass segmentation for mammograms via cascaded random forests. - Hang Min; Shekhar S. Chandra; Neeraj Dhungel; Stuart Crozier; Andrew P. Bradley (ISBI, 2017)

Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms. - Fatemeh Taheri Dezaki; Neeraj Dhungel; Amir H. Abdi; Christina Luong 001; Teresa Tsang; John Jue; Ken Gin; Dale Hawley; Robert Rohling; Purang Abolmaesumi (DLMIA/ML-CDS@MICCAI, 2017)

A deep learning approach for the analysis of masses in mammograms with minimal user intervention. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (Medical Image Anal., 2017)

Combining Deep Learning and Structured Prediction for Segmenting Masses in Mammograms. - Neeraj Dhungel; Gustavo Carneiro 001; Andrew P. Bradley (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Designing lightweight deep learning models for echocardiography view classification. - Hooman Vaseli; Zhibin Liao; Amir H. Abdi; Hany Girgis; Delaram Behnami; Christina Luong 001; Fatemeh Taheri Dezaki; Neeraj Dhungel; Robert Rohling; Ken Gin; Purang Abolmaesumi; Teresa Tsang (Image-Guided Procedures, 2019)

Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss. - Fatemeh Taheri Dezaki; Zhibin Liao; Christina Luong 001; Hany Girgis; Neeraj Dhungel; Amir H. Abdi; Delaram Behnami; Ken Gin; Robert Rohling; Purang Abolmaesumi; Teresa Tsang (IEEE Trans. Medical Imaging, 2019)