Heang-Ping Chan - researchr alias

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2008

Detection of Masses in Digital Breast Tomosynthesis Mammography: Effects of the Number of Projection Views and DoseHeang-Ping Chan, Jun Wei, Yiheng Zhang, Berkman Sahiner, Lubomir M. Hadjiiski, Mark A. Helvie. mammo 2008: 279-285 [doi]

Automated Registration of Volumes of Interest for a Combined X-Ray Tomosynthesis and Ultrasound Breast Imaging SystemMitchell M. Goodsitt, Heang-Ping Chan, Lubomir M. Hadjiiski, Gerald L. LeCarpentier, Paul L. Carson. mammo 2008: 463-468 [doi]

Computerized Detection and Classification of Malignant and Benign Microcalcifications on Full Field Digital MammogramsLubomir M. Hadjiiski, Peter Filev, Heang-Ping Chan, Jun Ge, Berkman Sahiner, Mark A. Helvie, Marilyn A. Roubidoux. mammo 2008: 336-342 [doi]

Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiersBerkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski. NN, 21(2-3):476-483, 2008. [doi]

Performance Analysis of Three-Class Classifiers: Properties of a 3-D ROC Surface and the Normalized Volume Under the Surface for the Ideal ObserverBerkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski. tmi, 27(2):215-227, 2008. [doi]

Breast Mass Classification on Full-Field Digital Mammography and Screen-Film MammographyJiazheng Shi, Berkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski, Jun Ge, Jun Wei. mammo 2008: 371-377 [doi]

Investigation of Different PV Distributions in Digital Breast Tomosynthesis (DBT) MammographyYiheng Zhang, Heang-Ping Chan, Mitchell M. Goodsitt, Andrea Schmitz, Jeffrey W. Eberhard, Bernhard E. H. Claus. mammo 2008: 593-600 [doi]

2007

Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network ClassifiersBerkman Sahiner, Heang-Ping Chan, Lubomir M. Hadjiiski. ijcnn 2007: 1762-1766 [doi]

2006

2004

Sample size and validation issues on the development of CAD systemsHeang-Ping Chan, Berkman Sahiner, Lubomir M. Hadjiiski. cars 2004: 872-877

2001

Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on CharacterizationBerkman Sahiner, Nicholas Petrick, Heang-Ping Chan, Lubomir M. Hadjiiski, Chintana Paramagul, Mark A. Helvie, Metin N. Gurcan. tmi, 20(12):1275-1284, 2001.

1999

Classification of Malignant and Benign Masses Based on Hybrid ART2LDA ApproachLubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Nicholas Petrick, Mark A. Helvie. tmi, 18(12):1178-1187, 1999.

1995

Artificial convolution neural network for medical image pattern recognitionShih-Chung Ben Lo, Heang-Ping Chan, Jyh-Shyan Lin, Huai Li, Matthew T. Freedman, Seong K. Mun. NN, 8(7-8):1201-1214, 1995. [doi]