Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications

le Helvie, Mark A.
Foilsithe 2010

Analysis of computer-aided detection techniques and signal characteristics for clustered microcalcifications on digital mammography and digital breast tomosynthesis

le Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A
Foilsithe in Phys Med Biol (2016)

Quasi-Continuous and Discrete Confidence Rating Scales for Observer Performance Studies: Effects on ROC Analysis

le Hadjiiski, Lubomir, Chan, Heang-Ping, Sahiner, Berkman, Helvie, Mark A., Roubidoux, Marilyn A.
Foilsithe 2007

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

le Samala, Ravi K., Chan, Heang-Ping, Hadjiiski, Lubomir, Helvie, Mark A., Wei, Jun, Cha, Kenny
Foilsithe in Med Phys (2016)

Generalization Error Analysis for Deep Convolutional Neural Network with Transfer Learning in Breast Cancer Diagnosis

le Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Richter, Caleb D
Foilsithe in Phys Med Biol (2020)

Digital breast tomosynthesis: Computer-aided detection of clustered microcalcifications on planar projection images

le Samala, Ravi K, Chan, Heang-Ping, Lu, Yao, Hadjiiski, Lubomir M, Wei, Jun, Helvie, Mark A
Foilsithe in Phys Med Biol (2014)

Computer-aided Detection System for Clustered Microcalcifications in Digital Breast Tomosynthesis using Joint Information from Volumetric and Planar Projection Images

le Samala, Ravi K, Chan, Heang-Ping, Lu, Yao, Hadjiiski, Lubomir M, Wei, Jun, Helvie, Mark A
Foilsithe in Phys Med Biol (2015)

Evolutionary Pruning of Transfer Learned Deep Convolutional Neural Network for Breast Cancer Diagnosis in Digital Breast Tomosynthesis

le Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Richter, Caleb, Cha, Kenny
Foilsithe in Phys Med Biol (2018)

Computer aided detection system for clustered microcalcifications: Comparison of performance on full field digital mammograms and digitized screen-film mammograms

le Ge, Jun, Hadjiiski, Lubomir M., Sahiner, Berkman, Wei, Jun, Helvie, Mark A., Zhou, Chuan, Chan, Heang-Ping
Foilsithe 2007

Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach

le Sahiner, Berkman, Chan, Heang-Ping, Hadjiiski, Lubomir M., Helvie, Mark A., Wei, Jun, Zhou, Chuan, Lu, Yao
Foilsithe 2012

Computer-aided detection of clustered microcalcifications in multiscale bilateral filtering regularized reconstructed digital breast tomosynthesis volume

le Samala, Ravi K., Chan, Heang-Ping, Lu, Yao, Hadjiiski, Lubomir, Wei, Jun, Sahiner, Berkman, Helvie, Mark A.
Foilsithe 2014

Multichannel response analysis on 2D projection views for detection of clustered microcalcifications in digital breast tomosynthesis

le Wei, Jun, Chan, Heang-Ping, Hadjiiski, Lubomir M., Helvie, Mark A., Lu, Yao, Zhou, Chuan, Samala, Ravi
Foilsithe 2014

Automated pectoral muscle identification on MLO‐view mammograms: Comparison of deep neural network to conventional computer vision

le Ma, Xiangyuan, Wei, Jun, Zhou, Chuan, Helvie, Mark A., Chan, Heang‐Ping, Hadjiiski, Lubomir M., Lu, Yao
Foilsithe in Med Phys (2019)

Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning using Deep Neural Nets

le Samala, Ravi K., Chan, Heang-Ping, Hadjiiski, Lubomir, Helvie, Mark A., Richter, Caleb D., Cha, Kenny H.
Foilsithe in IEEE Trans Med Imaging (2019)

Automated regional registration and characterization of corresponding microcalcification clusters on temporal pairs of mammograms for interval change analysis

le Filev, Peter, Hadjiiski, Lubomir, Chan, Heang-Ping, Sahiner, Berkman, Ge, Jun, Helvie, Mark A., Roubidoux, Marilyn, Zhou, Chuan
Foilsithe 2008

Computer-aided detection of breast masses on mammograms: Dual system approach with two-view analysis

le Wei, Jun, Chan, Heang-Ping, Sahiner, Berkman, Zhou, Chuan, Hadjiiski, Lubomir M., Roubidoux, Marilyn A., Helvie, Mark A.
Foilsithe 2009

Multi-task transfer learning deep convolutional neural network: Application to computer-aided diagnosis of breast cancer on mammograms

le Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Cha, Kenny H, Richter, Caleb D
Foilsithe in Phys Med Biol (2017)

Joint two-view information for computerized detection of microcalcifications on mammograms

le Sahiner, Berkman, Chan, Heang-Ping, Hadjiiski, Lubomir M., Helvie, Mark A., Paramagul, Chinatana, Ge, Jun, Wei, Jun, Zhou, Chuan
Foilsithe 2006

Dual system approach to computer-aided detection of breast masses on mammograms

le Wei, Jun, Chan, Heang-Ping, Sahiner, Berkman, Hadjiiski, Lubomir M., Helvie, Mark A., Roubidoux, Marilyn A., Zhou, Chuan, Ge, Jun
Foilsithe 2006

Computer-aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches

le Chan, Heang-Ping, Wei, Jun, Zhang, Yiheng, Helvie, Mark A., Moore, Richard H., Sahiner, Berkman, Hadjiiski, Lubomir, Kopans, Daniel B.
Foilsithe 2008