Neeraj Dhungel

15 papers B 2Misc 1Journal 4Unranked 7

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