Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications

od Helvie, Mark A.
Izdano 2010

Response to the Letter-to-the-Editor “Digital Breast Tomosynthesis (DBT) might not be the optimal modality for detection of microcalcification”

od Chan, Heang-Ping, Goodsitt, Mitch, Helvie, Mark
Izdano u Radiology (2015)

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

od Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A
Izdano u Phys Med Biol (2016)

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

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

Retrospective Review of a Mobile Mammography Screening Program in an Underserved Population within a Large Metropolitan Area

od Spak, David A., Foxhall, Lewis, Rieber, Alyssa, Hess, Kenneth, Helvie, Mark, Whitman, Gary J.
Izdano u Acad Radiol (2022)

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

od Samala, Ravi K., Chan, Heang-Ping, Hadjiiski, Lubomir, Helvie, Mark A., Wei, Jun, Cha, Kenny
Izdano u Med Phys (2016)

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

od Samala, Ravi K, Chan, Heang-Ping, Hadjiiski, Lubomir M, Helvie, Mark A, Richter, Caleb D
Izdano u Phys Med Biol (2020)

Treatment response assessment of breast masses on dynamic contrast-enhanced magnetic resonance scans using fuzzy c-means clustering and level set segmentation

od Shi, Jiazheng, Sahiner, Berkman, Chan, Heang-Ping, Paramagul, Chintana, Hadjiiski, Lubomir M., Helvie, Mark, Chenevert, Thomas
Izdano 2009

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

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

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

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

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

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

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

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

Similarity evaluation in a content-based image retrieval (CBIR) CADx system for characterization of breast masses on ultrasound images

od Cho, Hyun-chong, Hadjiiski, Lubomir, Sahiner, Berkman, Chan, Heang-Ping, Helvie, Mark, Paramagul, Chintana, Nees, Alexis V.
Izdano 2011

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

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

A similarity study of content-based image retrieval system for breast cancer using decision tree

od Cho, Hyun-chong, Hadjiiski, Lubomir, Sahiner, Berkman, Chan, Heang-Ping, Helvie, Mark, Paramagul, Chintana, Nees, Alexis V.
Izdano 2013

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

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

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

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

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

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

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

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

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

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