2008 |
14 | EE | Heang-Ping Chan,
Jun Wei,
Yiheng Zhang,
Berkman Sahiner,
Lubomir M. Hadjiiski,
Mark A. Helvie:
Detection of Masses in Digital Breast Tomosynthesis Mammography: Effects of the Number of Projection Views and Dose.
Digital Mammography / IWDM 2008: 279-285 |
13 | EE | Lubomir M. Hadjiiski,
Peter Filev,
Heang-Ping Chan,
Jun Ge,
Berkman Sahiner,
Mark A. Helvie,
Marilyn A. Roubidoux:
Computerized Detection and Classification of Malignant and Benign Microcalcifications on Full Field Digital Mammograms.
Digital Mammography / IWDM 2008: 336-342 |
12 | EE | Jiazheng Shi,
Berkman Sahiner,
Heang-Ping Chan,
Lubomir M. Hadjiiski,
Jun Ge,
Jun Wei:
Breast Mass Classification on Full-Field Digital Mammography and Screen-Film Mammography.
Digital Mammography / IWDM 2008: 371-377 |
11 | EE | Mitchell M. Goodsitt,
Heang-Ping Chan,
Lubomir M. Hadjiiski,
Gerald L. LeCarpentier,
Paul L. Carson:
Automated Registration of Volumes of Interest for a Combined X-Ray Tomosynthesis and Ultrasound Breast Imaging System.
Digital Mammography / IWDM 2008: 463-468 |
10 | EE | Yiheng Zhang,
Heang-Ping Chan,
Mitchell M. Goodsitt,
Andrea Schmitz,
Jeffrey W. Eberhard,
Bernhard E. H. Claus:
Investigation of Different PV Distributions in Digital Breast Tomosynthesis (DBT) Mammography.
Digital Mammography / IWDM 2008: 593-600 |
9 | EE | Berkman Sahiner,
Heang-Ping Chan,
Lubomir M. Hadjiiski:
Performance Analysis of Three-Class Classifiers: Properties of a 3-D ROC Surface and the Normalized Volume Under the Surface for the Ideal Observer.
IEEE Trans. Med. Imaging 27(2): 215-227 (2008) |
8 | EE | Berkman Sahiner,
Heang-Ping Chan,
Lubomir M. Hadjiiski:
Classifier performance estimation under the constraint of a finite sample size: Resampling schemes applied to neural network classifiers.
Neural Networks 21(2-3): 476-483 (2008) |
2007 |
7 | EE | Berkman Sahiner,
Heang-Ping Chan,
Lubomir M. Hadjiiski:
Classifier Performance Estimation Under the Constraint of a Finite Sample Size: Resampling Schemes Applied to Neural Network Classifiers.
IJCNN 2007: 1762-1766 |
2006 |
6 | EE | Jeffrey W. Eberhard,
Douglas Albagli,
Andrea Schmitz,
Bernhard E. H. Claus,
Paul L. Carson,
Mitchell M. Goodsitt,
Heang-Ping Chan,
Marilyn A. Roubidoux,
Jerry A. Thomas,
Jacqueline Osland:
Mammography Tomosynthesis System for High Performance 3D Imaging.
Digital Mammography / IWDM 2006: 137-143 |
5 | EE | Bernhard E. H. Claus,
Jeffrey W. Eberhard,
Andrea Schmitz,
Paul L. Carson,
Mitchell M. Goodsitt,
Heang-Ping Chan:
Generalized Filtered Back-Projection Reconstruction in Breast Tomosynthesis.
Digital Mammography / IWDM 2006: 167-174 |
2004 |
4 | | Heang-Ping Chan,
Berkman Sahiner,
Lubomir M. Hadjiiski:
Sample size and validation issues on the development of CAD systems.
CARS 2004: 872-877 |
2001 |
3 | | Berkman Sahiner,
Nicholas Petrick,
Heang-Ping Chan,
Lubomir M. Hadjiiski,
Chintana Paramagul,
Mark A. Helvie,
Metin N. Gurcan:
Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effect on Characterization.
IEEE Trans. Med. Imaging 20(12): 1275-1284 (2001) |
1999 |
2 | | Lubomir M. Hadjiiski,
Berkman Sahiner,
Heang-Ping Chan,
Nicholas Petrick,
Mark A. Helvie:
Classification of Malignant and Benign Masses Based on Hybrid ART2LDA Approach.
IEEE Trans. Med. Imaging 18(12): 1178-1187 (1999) |
1995 |
1 | EE | Shih-Chung Ben Lo,
Heang-Ping Chan,
Jyh-Shyan Lin,
Huai Li,
Matthew T. Freedman,
Seong K. Mun:
Artificial convolution neural network for medical image pattern recognition.
Neural Networks 8(7-8): 1201-1214 (1995) |