 | 2009 |
|---|
| 7 |       | Pallavi Tiwari,
Mark Rosen,
Galen Reed,
John Kurhanewicz,
Anant Madabhushi:
Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data.
MICCAI (1) 2009: 844-851 |
| 2008 |
|---|
| 6 | | Robert Toth,
Jonathan Chappelow,
Mark Rosen,
Sona Pungavkar,
Arjun Kalyanpur,
Anant Madabhushi:
Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA).
MICCAI (1) 2008: 653-661 |
| 5 | | Pallavi Tiwari,
Mark Rosen,
Anant Madabhushi:
Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy.
MICCAI (2) 2008: 330-338 |
| 2007 |
|---|
| 4 | | Jonathan Chappelow,
Anant Madabhushi,
Mark Rosen,
John E. Tomaszeweski,
Michael D. Feldman:
A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration.
ISBI 2007: 644-647 |
| 3 | | Pallavi Tiwari,
Anant Madabhushi,
Mark Rosen:
A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS).
MICCAI (2) 2007: 278-286 |
| 2006 |
|---|
| 2 | | Anant Madabhushi,
Jianbo Shi,
Michael D. Feldman,
Mark Rosen,
John Tomaszewski:
Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI.
CVAMIA 2006: 25-36 |
| 2005 |
|---|
| 1 | | Anant Madabhushi,
Jianbo Shi,
Mark Rosen,
John E. Tomaszeweski,
Michael D. Feldman:
Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer.
MICCAI 2005: 729-737 |
