Anant Madabhushi

According to our database1, Anant Madabhushi authored at least 185 papers between 2000 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2018
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.
CMBBE: Imaging & Visualization, 2018

RaPtomics: integrating radiomic and pathomic features for predicting recurrence in early stage lung cancer.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Combination of nuclear NF-κB/p65 localization and gland morphological features from surgical specimens appears to be predictive of early biochemical recurrence in prostate cancer patients.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

A watershed and feature-based approach for automated detection of lymphocytes on lung cancer images.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Feature Driven Local Cell Graph (FeDeG): Predicting Overall Survival in Early Stage Lung Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A deep learning classifier for prediction of pathological complete response to neoadjuvant chemotherapy from baseline breast DCE-MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.
Comp. Med. Imag. and Graph., 2017

Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.
BMC Medical Imaging, 2017

Quantifying expert diagnosis variability when grading tumor-infiltrating lymphocytes.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

A lymphocyte spatial distribution graph-based method for automated classification of recurrence risk on lung cancer images.
Proceedings of the 13th International Symposium on Medical Information Processing and Analysis, 2017

Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Deep Learning Tissue Segmentation in Cardiac Histopathology Images.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology.
IEEE Trans. Med. Imaging, 2016

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
IEEE Trans. Med. Imaging, 2016

Image analysis and machine learning in digital pathology: Challenges and opportunities.
Medical Image Analysis, 2016

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.
Neurocomputing, 2016

Multi-modality registration via multi-scale textural and spectral embedding representations.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Automated tubule nuclei quantification and correlation with oncotype DX risk categories in ER+ breast cancer whole slide images.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Evaluating stability of histomorphometric features across scanner and staining variations: predicting biochemical recurrence from prostate cancer whole slide images.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

2015
Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer.
IEEE Trans. Med. Imaging, 2015

Assessment of algorithms for mitosis detection in breast cancer histopathology images.
Medical Image Analysis, 2015

Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.
Comp. Med. Imag. and Graph., 2015

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.
Comp. Med. Imag. and Graph., 2015

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge.
Medical Image Analysis, 2014

A learning based fiducial-driven registration scheme for evaluating laser ablation changes in neurological disorders.
Neurocomputing, 2014

Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer.
Neurocomputing, 2014

A domain constrained deformable (DoCD) model for co-registration of pre- and post-radiated prostate MRI.
Neurocomputing, 2014

Assessment of algorithms for mitosis detection in breast cancer histopathology images.
CoRR, 2014

Spatially aware expectation maximization (SpAEM): application to prostate TRUS segmentation.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Spectral embedding-based registration (SERg) for multimodal fusion of prostate histology and MRI.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Identifying MRI markers to evaluate early treatment-related changes post-laser ablation for cancer pain management.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks.
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): Distinguishing Tumor Confounders and Molecular Subtypes on MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

A prostate MRI atlas of biochemical failures following cancer treatment.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Distinguishing prostate cancer from benign confounders via a cascaded classifier on multi-parametric MRI.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Computer extracted texture features on T2w MRI to predict biochemical recurrence following radiation therapy for prostate cancer.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

2013
Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides.
IEEE Trans. Biomed. Engineering, 2013

Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS.
Medical Image Analysis, 2013

Explicit shape descriptors: Novel morphologic features for histopathology classification.
Medical Image Analysis, 2013

Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets.
Computer Vision and Image Understanding, 2013

Statistical shape model for manifold regularization: Gleason grading of prostate histology.
Computer Vision and Image Understanding, 2013

Decision support system for detection of diabetic retinopathy using smartphones.
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013

Mouse lung volume reconstruction from efficient groupwise registration of individual histological slices with natural gradient.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

A novel point-based nonrigid image registration scheme based on learning optimal landmark configurations.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Statistical 3D prostate imaging atlas construction via anatomically constrained registration.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

Fully automated prostate magnetic resonance imaging and transrectal ultrasound fusion via a probabilistic registration metric.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013

A statistical deformation model (SDM) based regularizer for non-rigid image registration: application to registration of multimodal prostate MRI and histology.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013

EM-based segmentation-driven color standardization of digitized histopathology.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013

Cell cluster graph for prediction of biochemical recurrence in prostate cancer patients from tissue microarrays.
Proceedings of the Medical Imaging 2013: Digital Pathology, 2013

Cell Orientation Entropy (COrE): Predicting Biochemical Recurrence from Prostate Cancer Tissue Microarrays.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Variable Importance in Nonlinear Kernels (VINK): Classification of Digitized Histopathology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Spatially Aware Cell Cluster(SpACCl) Graphs: Predicting Outcome in Oropharyngeal p16+ Tumors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Iterative multiple reference tissue method for estimating pharmacokinetic parameters on prostate DCE MRI.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Discriminatively weighted multi-scale Local Binary Patterns: Applications in prostate cancer diagnosis on T2W MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Learning based fiducial driven registration (LEFIR): Evaluating laser ablation changes for neurological applications.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Co-occurring gland tensors in localized cluster graphs: Quantitative histomorphometry for predicting biochemical recurrence for intermediate grade prostate cancer.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation.
IEEE Trans. Med. Imaging, 2012

An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery.
IEEE Trans. Med. Imaging, 2012

High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts.
IEEE Trans. Biomed. Engineering, 2012

A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies.
IEEE Trans. Biomed. Engineering, 2012

Editorial: TBME Letters Special Section on Multiscale Biomedical Signal and Image Modeling and Analysis.
IEEE Trans. Biomed. Engineering, 2012

Class-specific weighting for Markov random field estimation: Application to medical image segmentation.
Medical Image Analysis, 2012

Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data.
BMC Bioinformatics, 2012

Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.
BMC Bioinformatics, 2012

Image Segmentation with Implicit Color Standardization Using Spatially Constrained Expectation Maximization: Detection of Nuclei.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

A Visual Latent Semantic Approach for Automatic Analysis and Interpretation of Anaplastic Medulloblastoma Virtual Slides.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Gleason grading of prostate histology utilizing manifold regularization via statistical shape model of manifolds.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

Image segmentation with implicit color standardization using cascaded EM: Detection of myelodysplastic syndromes.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Weighted Maximum Posterior Marginals for Random Fields Using an Ensemble of Conditional Densities From Multiple Markov Chain Monte Carlo Simulations.
IEEE Trans. Med. Imaging, 2011

A high-throughput active contour scheme for segmentation of histopathological imagery.
Medical Image Analysis, 2011

A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.
Medical Image Analysis, 2011

Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification.
J. Digital Imaging, 2011

Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.
Comp. Med. Imag. and Graph., 2011

Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.
Comp. Med. Imag. and Graph., 2011

HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.
Comp. Med. Imag. and Graph., 2011

Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.
BMC Bioinformatics, 2011

An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation.
BMC Bioinformatics, 2011

Integrating an adaptive region-based appearance model with a landmark-free statistical shape model: application to prostate MRI segmentation.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Content-based image retrieval utilizing explicit shape descriptors: applications to breast MRI and prostate histopathology.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Local morphologic scale: application to segmenting tumor infiltrating lymphocytes in ovarian cancer TMAs.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Segmenting multiple overlapping objects via a hybrid active contour model incorporating shape priors: applications to digital pathology.
Proceedings of the Medical Imaging 2011: Image Processing, 2011

Aggregated Distance Metric Learning (ADM) for Image Classification in Presence of Limited Training Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011

Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011

Adaptive Energy Selective Active Contour with Shape Priors for Nuclear Segmentation and Gleason Grading of Prostate Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Linked statistical shape models for multi-modal segmentation: application to prostate CT-MR segmentation in radiotherapy planning.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

CADOnc ©: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Medial axis based statistical shape model (MASSM): Applications to 3D prostate segmentation on MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Boosted Spectral Embedding (BoSE): Applications to content-based image retrieval of histopathology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Out-of-sample extrapolation using semi-supervised manifold learning (OSE-SSL): Content-based image retrieval for prostate histology grading.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Active Contour for Overlap Resolution using Watershed BASED initialization (ACOReW): Applications to histopathology.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Evaluating feature selection strategies for high dimensional, small sample size datasets.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Expectation-Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
IEEE Trans. Biomed. Engineering, 2010

Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology.
IEEE Trans. Biomed. Engineering, 2010

High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
Medical Image Analysis, 2010

Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

A structural-functional MRI-based disease atlas: application to computer-aided-diagnosis of prostate cancer.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

A weighted mean shift, normalized cuts initialized color gradient based geodesic active contour model: applications to histopathology image segmentation.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI.
Proceedings of the Medical Imaging 2010: Visualization, 2010

High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010

Markov Random Field driven Region-Based Active Contour Model (MaRACel): Application to Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Semi Supervised Multi Kernel (SeSMiK) Graph Embedding: Identifying Aggressive Prostate Cancer via Magnetic Resonance Imaging and Spectroscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Novel Morphometric Based Classification via Diffeomorphic Based Shape Representation Using Manifold Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

An integrated framework for analyzing three-dimensional shape differences: evaluating prostate morphometry.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Computer-aided prognosis: predicting patient and disease outcome via multi-modal image analysis.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Evaluation of effects of jpeg2000 compression on a computer-aided detection system for prostate cancer on digitized histopathology.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Multi-attribute combined mutual information (MACMI): an image registration framework for leveraging multiple data channels.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Predicting classifier performance with a small training set: applications to computer-aided diagnosis and prognosis.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Pattern Recognition in Histopathological Images: An ICPR 2010 Contest.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

2009
WERITAS: weighted ensemble of regional image textures for ASM segmentation.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Probabilistic pairwise Markov models: application to prostate cancer detection.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

COLLINARUS: collection of image-derived non-linear attributes for registration using splines.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Spectral Embedding Based Probabilistic Boosting Tree (ScEPTre): Classifying High Dimensional Heterogeneous Biomedical Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

A boosted distance metric: application to content based image retrieval and classification of digitized histopathology.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

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.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Classifying Ayurvedic Pulse Signals Via Consensus Locally Linear Embedding.
Proceedings of the BIOSIGNALS 2009, 2009

Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

2008
Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies.
IEEE/ACM Trans. Comput. Biology Bioinform., 2008

Image filtering via generalized scale.
Medical Image Analysis, 2008

A multi-modal prostate segmentation scheme by combining spectral clustering and active shape models.
Proceedings of the Medical Imaging 2008: Image Processing, 2008

A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Multi-Attribute Non-initializing Texture Reconstruction Based Active Shape Model (MANTRA).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Consensus-Locally Linear Embedding (C-LLE): Application to Prostate Cancer Detection on Magnetic Resonance Spectroscopy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Multimodal image registration of ex vivo 4 Tesla MRI with whole mount histology for prostate cancer detection.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Automated Grading of Prostate Cancer Using Architectural and Textural Image Features.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

A Combined Feature Ensemble Based Mutual Information Scheme for Robust Inter-Modal, Inter-Protocol Image Registration.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Generalized scale: Theory, algorithms, and application to image inhomogeneity correction.
Computer Vision and Image Understanding, 2006

A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Breast Cancer Diagnosis Using Neural-Based Linear Fusion Strategies.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Comparing Ensembles of Learners: Detecting Prostate Cancer from High Resolution MRI.
Proceedings of the Computer Vision Approaches to Medical Image Analysis, 2006

2005
Interplay between intensity standardization and inhomogeneity correction in MR image processing.
IEEE Trans. Med. Imaging, 2005

Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
IEEE Trans. Med. Imaging, 2005

Generalized scale-based image filtering.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Generalized ball-scale: theory, algorithms, and application to image inhomogeneity correction.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

New methods of MR image intensity standardization via generalized scale.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

Graph Embedding to Improve Supervised Classification and Novel Class Detection: Application to Prostate Cancer.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004
Generalized scale: theory, algorithms, and application to image inhomogeneity correction.
Proceedings of the Medical Imaging 2004: Image Processing, 2004

2003
Combining Low, High-Level and Empirical Domain Specific Knowledge for Automated Segmentation of Ultrasonic Breast Lesions.
IEEE Trans. Med. Imaging, 2003

The interplay between intensity standardization and field inhomogeneity correction in MR image processing.
Proceedings of the Medical Imaging 2003: Image Processing, 2003

A Novel Stochastic Combination of 3D Texture Features for Automated Segmentation of Prostatic Adenocarcinoma from High Resolution MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

2002
Automatic quantification of liver-heart cross-talk for quality assessment in SPECT myocardial perfusion imaging.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Automatic boundary extraction of ultrasonic breast lesions.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2000
Using Head Movement to Recognize Activity.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


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