Anant Madabhushi

Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi: Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS. Medical Image Analysis 17(2): 219-235 (2013)

Satish Viswanath, Anant Madabhushi: Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data. BMC Bioinformatics 13: 26 (2012)

Scott Doyle, Michael D. Feldman, Natalie Shih, John Tomaszewski, Anant Madabhushi: Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer. BMC Bioinformatics 13: 282 (2012)

James Monaco, Anant Madabhushi: Class-specific weighting for Markov random field estimation: Application to medical image segmentation. Medical Image Analysis 16(8): 1477-1489 (2012)

Sergio Cerutti, Anant Madabhushi, Shishir K. Shah, Ki H. Chon: Editorial: TBME Letters Special Section on Multiscale Biomedical Signal and Image Modeling and Analysis. IEEE Trans. Biomed. Engineering 59(1): 4-7 (2012)

Scott Doyle, Michael D. Feldman, John Tomaszewski, Anant Madabhushi: A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies. IEEE Trans. Biomed. Engineering 59(5): 1205-1218 (2012)

Andrew Janowczyk, Sharat Chandran, Rajendra Singh, Dimitra Sasaroli, George Coukos, Michael D. Feldman, Anant Madabhushi: High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts. IEEE Trans. Biomed. Engineering 59(5): 1240-1252 (2012)

Sahirzeeshan Ali, Anant Madabhushi: An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery. IEEE Trans. Med. Imaging 31(7): 1448-1460 (2012)

Robert Toth, Anant Madabhushi: Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation. IEEE Trans. Med. Imaging 31(8): 1638-1650 (2012)

James Monaco, Philipp Raess, Ronak Chawla, Adam Bagg, Mitchell Weiss, John Choi, Anant Madabhushi: Image segmentation with implicit color standardization using cascaded EM: Detection of myelodysplastic syndromes. ISBI 2012: 740-743

Angel Cruz-Roa, Fabio A. González, Joseph Galaro, Alexander R. Judkins, David Ellison, Jennifer Baccon, Anant Madabhushi, Eduardo Romero: A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides. MICCAI (1) 2012: 157-164

James Monaco, J. Hipp, D. Lucas, S. Smith, Ulysses J. Balis, Anant Madabhushi: Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei. MICCAI (1) 2012: 365-372

Scott Doyle, James Monaco, Michael D. Feldman, John Tomaszewski, Anant Madabhushi: An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation. BMC Bioinformatics 12: 424 (2011)

Abhishek Golugula, George Lee, Stephen R. Master, Michael D. Feldman, John Tomaszewski, David W. Speicher, Anant Madabhushi: Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery. BMC Bioinformatics 12: 483 (2011)

Anant Madabhushi, Shannon Agner, Ajay Basavanhally, Scott Doyle, George Lee: Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Comp. Med. Imag. and Graph. 35(7-8): 506-514 (2011)

Jonathan Chappelow, John Tomaszewski, Michael D. Feldman, Natalie Shih, Anant Madabhushi: HistoStitcher^©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments. Comp. Med. Imag. and Graph. 35(7-8): 557-567 (2011)

Gaoyu Xiao, B. Nicolas Bloch, Jonathan Chappelow, Elizabeth Genega, Neil Rofsky, Robert E. Lenkinski, John Tomaszewski, Michael D. Feldman, Mark Rosen, Anant Madabhushi: Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer. Comp. Med. Imag. and Graph. 35(7-8): 568-578 (2011)

Shannon Agner, Salil Soman, Edward Libfeld, Margie McDonald, Kathleen Thomas, Sarah Englander, Mark A. Rosen, Deanna Chin, John L. Nosher, Anant Madabhushi: Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification. J. Digital Imaging 24(3): 446-463 (2011)

Robert Toth, Pallavi Tiwari, Mark Rosen, Galen Reed, John Kurhanewicz, Arjun Kalyanpur, Sona Pungavkar, Anant Madabhushi: A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation. Medical Image Analysis 15(2): 214-225 (2011)

Jun Xu, Andrew Janowczyk, Sharat Chandran, Anant Madabhushi: A high-throughput active contour scheme for segmentation of histopathological imagery. Medical Image Analysis 15(6): 851-862 (2011)

James Monaco, Anant Madabhushi: Weighted Maximum Posterior Marginals for Random Fields Using an Ensemble of Conditional Densities From Multiple Markov Chain Monte Carlo Simulations. IEEE Trans. Med. Imaging 30(7): 1353-1364 (2011)

Ajay Basavanhally, Shridar Ganesan, Natalie Shih, Carolyn Mies, Michael D. Feldman, John Tomaszewski, Anant Madabhushi: A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. ISBI 2011: 125-128

Pallavi Tiwari, Satish Viswanath, George Lee, Anant Madabhushi: Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data. ISBI 2011: 165-168

Sahirzeeshan Ali, Anant Madabhushi: Active Contour for Overlap Resolution using Watershed BASED initialization (ACOReW): Applications to histopathology. ISBI 2011: 614-617

Scott Doyle, Michael D. Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi: Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology. ISBI 2011: 715-718

Rachel Sparks, Anant Madabhushi: Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading. ISBI 2011: 734-737

Robert Toth, Rachel Sparks, Anant Madabhushi: Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI. ISBI 2011: 1463-1466

Akshay Sridhar, Scott Doyle, Anant Madabhushi: Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology. ISBI 2011: 1897-1900

Satish Viswanath, Pallavi Tiwari, Jonathan Chappelow, Robert Toth, John Kurhanewicz, Anant Madabhushi: CADOnc ⓒ: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI. ISBI 2011: 2095-2098

Gaoyu Xiao, Anant Madabhushi: Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data. MICCAI (3) 2011: 33-40

Pallavi Tiwari, Satish Viswanath, John Kurhanewicz, Anant Madabhushi: Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate. Prostate Cancer Imaging 2011: 80-91

Shoshana Ginsburg, Pallavi Tiwari, John Kurhanewicz, Anant Madabhushi: Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading. Prostate Cancer Imaging 2011: 146-157

Sahirzeeshan Ali, Robert Veltri, Jonathan I. Epstein, Christhunesa Christudass, Anant Madabhushi: Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer. MICCAI (1) 2011: 661-669

Anant Madabhushi, Jason Dowling, Henkjan J. Huisman, Dean C. Barratt (Eds.): Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions - International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 22, 2011. Proceedings. Lecture Notes in Computer Science 6963, Springer 2011, isbn 978-3-642-23943-4

James Monaco, John Tomaszewski, Michael D. Feldman, Ian Hagemann, Mehdi Moradi, Parvin Mousavi, Alexander Boag, Chris Davidson, Purang Abolmaesumi, Anant Madabhushi: High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Analysis 14(4): 617-629 (2010)

Ajay Basavanhally, Shridar Ganesan, Shannon Agner, James Monaco, Michael D. Feldman, John Tomaszewski, Gyan Bhanot, Anant Madabhushi: Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. IEEE Trans. Biomed. Engineering 57(3): 642-653 (2010)

Hussain Fatakdawala, Jun Xu, Ajay Basavanhally, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi: Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. IEEE Trans. Biomed. Engineering 57(7): 1676-1689 (2010)

Metin N. Gurcan, Anant Madabhushi, Nasir Rajpoot: Pattern Recognition in Histopathological Images: An ICPR 2010 Contest. ICPR Contests 2010: 226-234

Ajay Basavanhally, Scott Doyle, Anant Madabhushi: Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis. ISBI 2010: 229-232

Jonathan Chappelow, Anant Madabhushi: Multi-attribute combined mutual information (MACMI): an image registration framework for leveraging multiple data channels. ISBI 2010: 376-379

Rachel Sparks, Robert Toth, Jonathan Chappelow, Gaoyu Xiao, Anant Madabhushi: An integrated framework for analyzing three-dimensional shape differences: evaluating prostate morphometry. ISBI 2010: 1081-1084

Scott Doyle, James Monaco, Anant Madabhushi, Stefan Lindholm, Patric Ljung, Lance Ladic, John Tomaszewski, Michael D. Feldman: Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology. ISBI 2010: 1313-1316

Anant Madabhushi, Ajay Basavanhally, Scott Doyle, Shannon Agner, George Lee: Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis. ISBI 2010: 1415-1418

Jun Xu, Rachel Sparks, Andrew Janowczyk, John E. Tomaszeweski, Michael D. Feldman, Anant Madabhushi: High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies. Prostate Cancer Imaging 2010: 77-88

Jun Xu, James Monaco, Anant Madabhushi: Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation. MICCAI (3) 2010: 197-204

Rachel Sparks, Anant Madabhushi: Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning. MICCAI (3) 2010: 658-665

Pallavi Tiwari, John Kurhanewicz, Mark Rosen, Anant Madabhushi: Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy. MICCAI (3) 2010: 666-673

George Lee, Anant Madabhushi: Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data. PRIB 2010: 207-218

Scott Doyle, Anant Madabhushi: Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis. PRIB 2010: 313-324

Anant Madabhushi, Jason Dowling, Pingkun Yan, Aaron Fenster, Purang Abolmaesumi, Nobuhiko Hata (Eds.): Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention - International Workshop, Held in Conjunction with MICCAI 2010, Beijing, China, September 24, 2010. Proceedings. Lecture Notes in Computer Science 6367, Springer 2010, isbn 978-3-642-15988-6

Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Gyan Bhanot, Shridar Ganesan, Michael D. Feldman, John Tomaszewski, Anant Madabhushi: Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. BIBE 2009: 69-76

Amod Jog, Aniruddha J. Joshi, Sharat Chandran, Anant Madabhushi: Classifying Ayurvedic Pulse Signals Via Consensus Locally Linear Embedding. BIOSIGNALS 2009: 388-395

George Lee, Scott Doyle, James Monaco, Michael D. Feldman, Stephen R. Master, John Tomaszewski, Anant Madabhushi: A Knowledge Representation Framework for Integration, Classification of Multi-Scale Imaging and Non-Imaging Data: Preliminary Results in Predicting Prostate Cancer Recurrence by Fusing Mass Spectrometry and Histology. ISBI 2009: 77-80

Ajay Basavanhally, Jun Xu, Shridar Ganesan, Anant Madabhushi: Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. ISBI 2009: 851-854

Shannon Agner, Jun Xu, Hussain Fatakdawala, Shridar Ganesan, Anant Madabhushi, Sarah Englander, Mark Rosen, Kathleen Thomas, Mitchell D. Schnall, Michael D. Feldman, John Tomaszewski: Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. ISBI 2009: 1227-1230

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

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

Andre Souza, Jayaram K. Udupa, Anant Madabhushi: Image filtering via generalized scale. Medical Image Analysis 12(2): 87-98 (2008)

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)

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

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

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

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

Satish Viswanath, B. Nicolas Bloch, Elizabeth Genega, Neil Rofsky, Robert E. 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

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

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

George Lee, Carlos Rodriguez, Anant Madabhushi: An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets. ISBRA 2007: 170-181

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

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)

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

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

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

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)

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)

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

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)

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

Anant Madabhushi, Dimitris N. Metaxas: Automatic boundary extraction of ultrasonic breast lesions. ISBI 2002: 601-604

Anant Madabhushi, J. K. Aggarwal: Using Head Movement to Recognize Activity. ICPR 2000: 4698-4701