| 2009 | ||
|---|---|---|
| 24 | Amod Jog, Aniruddha J. Joshi, Sharat Chandran, Anant Madabhushi: Classifying Ayurvedic Pulse Signals Via Consensus Locally Linear Embedding. BIOSIGNALS 2009: 388-395 | |
| 23 | Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi: Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays. MICCAI (1) 2009: 230-238 | |
| 22 | 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 | ||
| 21 | Shivang Naik, Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski: Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology. ISBI 2008: 284-287 | |
| 20 | Scott Doyle, Shannon Agner, Anant Madabhushi, Michael D. Feldman, John Tomaszewski: Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features. ISBI 2008: 496-499 | |
| 19 | 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 | |
| 18 | Satish Viswanath, B. Nicolas Bloch, Elisabeth Genega, Neil Rofsky, Robert Lenkinski, Jonathan Chappelow, Robert Toth, Anant Madabhushi: A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI. MICCAI (1) 2008: 662-669 | |
| 17 | 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 | |
| 16 | George Lee, Carlos Rodriguez, Anant Madabhushi: Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies. IEEE/ACM Trans. Comput. Biology Bioinform. 5(3): 368-384 (2008) | |
| 2007 | ||
| 15 | Scott Doyle, Mark Hwang, Kinsuk Shah, Anant Madabhushi, Michael D. Feldman, John E. Tomaszeweski: Automated Grading of Prostate Cancer Using Architectural and Textural Image Features. ISBI 2007: 1284-1287 | |
| 14 | 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 | |
| 13 | George Lee, Carlos Rodriguez, Anant Madabhushi: An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets. ISBRA 2007: 170-181 | |
| 12 | 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 | ||
| 11 | 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 | |
| 10 | Yunfeng Wu, Cong Wang, Sin Chun Ng, Anant Madabhushi, Yixin Zhong: Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies. ICONIP (3) 2006: 165-175 | |
| 9 | Scott Doyle, Anant Madabhushi, Michael D. Feldman, John E. Tomaszeweski: A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology. MICCAI (2) 2006: 504-511 | |
| 8 | Anant Madabhushi, Jayaram K. Udupa, Andre Souza: Generalized scale: Theory, algorithms, and application to image inhomogeneity correction. Computer Vision and Image Understanding 101(2): 100-121 (2006) | |
| 2005 | ||
| 7 | 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 | |
| 6 | Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, John E. Tomaszeweski, Deborah Chute: Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI. IEEE Trans. Med. Imaging 24(12): 1611-1625 (2005) | |
| 5 | Anant Madabhushi, Jayaram K. Udupa: Interplay between intensity standardization and inhomogeneity correction in MR image processing. IEEE Trans. Med. Imaging 24(5): 561-576 (2005) | |
| 2003 | ||
| 4 | Anant Madabhushi, Michael D. Feldman, Dimitris N. Metaxas, Deborah Chute, John E. Tomaszeweski: A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI. MICCAI (1) 2003: 581-591 | |
| 3 | Anant Madabhushi, Dimitris N. Metaxas: Combining Low, High-Level and Empirical Domain Specific Knowledge for Automated Segmentation of Ultrasonic Breast Lesions. IEEE Trans. Med. Imaging 22(2): 155-169 (2003) | |
| 2002 | ||
| 2 | Anant Madabhushi, Dimitris N. Metaxas: Automatic boundary extraction of ultrasonic breast lesions. ISBI 2002: 601-604 | |
| 2000 | ||
| 1 | Anant Madabhushi, J. K. Aggarwal: Using Head Movement to Recognize Activity. ICPR 2000: 4698-4701 | |