Anant Madabhushi
Orcid: 0000-0002-5741-0399
According to our database1,
Anant Madabhushi
authored at least 237 papers
between 2000 and 2024.
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Bibliography
2024
Automatic myeloblast segmentation in acute myeloid leukemia images based on adversarial feature learning.
Comput. Methods Programs Biomed., January, 2024
2023
Novel Fractal-Based Sub-RPE Compartment OCT Radiomics Biomarkers Are Associated With Subfoveal Geographic Atrophy in Dry AMD.
IEEE Trans. Biomed. Eng., October, 2023
Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer.
Medical Image Anal., 2023
CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models.
CoRR, 2023
PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling.
CoRR, 2023
Breast Cancer Immunohistochemical Image Generation: a Benchmark Dataset and Challenge Review.
CoRR, 2023
Resolving impact of technical and biological variability on the convolutional neural networks: evaluating chest x-ray scans.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma.
IEEE Trans. Medical Imaging, 2022
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.
IEEE J. Biomed. Health Informatics, 2022
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers.
CoRR, 2022
Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images.
Comput. Biol. Medicine, 2022
Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study.
IEEE J. Biomed. Health Informatics, 2021
Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study.
IEEE Trans. Biomed. Eng., 2021
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
Proc. IEEE, 2021
Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers.
Medical Image Anal., 2021
Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis.
Medical Image Anal., 2021
A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.
BMC Medical Imaging, 2021
SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study.
Frontiers Comput. Neurosci., 2020
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises.
CoRR, 2020
Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study.
CoRR, 2020
Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study.
CoRR, 2020
Automated gleason grading on prostate biopsy slides by statistical representations of homology profile.
Comput. Methods Programs Biomed., 2020
Texture features distinguish benign cell clusters from adenocarcinomas on bile duct brushing cytology images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Three-dimensional histo-morphometric features from light sheet microscopy images result in improved discrimination of benign from malignant glands in prostate cancer.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Computer extracted features related to the spatial arrangement of tumor-infiltrating lymphocytes predict overall survival in epithelial ovarian cancer receiving adjuvant chemotherapy.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Computationally derived cytological image markers for predicting risk of relapse in acute myeloid leukemia patients following bone marrow transplantation.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Radiomic features derived from periprostatic fat on pre-surgical T2w MRI predict extraprostatic extension of prostate cancer identified on post-surgical pathology: preliminary results.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
A combination of intra- and peri-tumoral deep features from prostate bi-parametric MRI can distinguish clinically significant and insignificant prostate cancer.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study.
BMC Medical Imaging, 2019
Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Phenotyping tumor infiltrating lymphocytes (PhenoTIL) on H&E tissue images: predicting recurrence in lung cancer.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
Response Estimation Through Spatially Oriented Neural Network and Texture Ensemble (RESONATE).
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Radiomic features derived from pre-operative multi-parametric MRI of prostate cancer are associated with Decipher risk score.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
A combination of intra- and peritumoral features on baseline CT scans is associated with overall survival in non-small cell lung cancer patients treated with immune checkpoint inhibitors: a multi-agent multi-site study.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Quantitative vessel tortuosity radiomics on baseline non-contrast lung CT predict response to immunotherapy and are prognostic of overall survival.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Spatial arrangement of leakage patterns in diabetic macular edema is associated with tolerance of aflibercept treatment interval length: preliminary findings.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Morphology of vascular network in eyes with diabetic macular edema varies based on tolerance of aflibercept treatment interval length: preliminary findings.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule.
Proceedings of the Digital Pathology - 15th European Congress, 2019
Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net.
Proceedings of the Digital Pathology - 15th European Congress, 2019
2018
A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 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.
Comput. Medical Imaging 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
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. Medical Imaging, 2016
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
IEEE Trans. Medical Imaging, 2016
Image analysis and machine learning in digital pathology: Challenges and opportunities.
Medical Image Anal., 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. Medical Imaging, 2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images.
Medical Image Anal., 2015
Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.
Comput. Medical Imaging Graph., 2015
Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.
Comput. Medical Imaging 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
Medical Image Anal., 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
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
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. Eng., 2013
Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS.
Medical Image Anal., 2013
Explicit shape descriptors: Novel morphologic features for histopathology classification.
Medical Image Anal., 2013
Simultaneous segmentation of prostatic zones using Active Appearance Models with multiple coupled levelsets.
Comput. Vis. Image Underst., 2013
Statistical shape model for manifold regularization: Gleason grading of prostate histology.
Comput. Vis. Image Underst., 2013
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
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. Medical Imaging, 2012
An Integrated Region-, Boundary-, Shape-Based Active Contour for Multiple Object Overlap Resolution in Histological Imagery.
IEEE Trans. Medical Imaging, 2012
High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts.
IEEE Trans. Biomed. Eng., 2012
A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies.
IEEE Trans. Biomed. Eng., 2012
Editorial: TBME Letters Special Section on Multiscale Biomedical Signal and Image Modeling and Analysis.
IEEE Trans. Biomed. Eng., 2012
Class-specific weighting for Markov random field estimation: Application to medical image segmentation.
Medical Image Anal., 2012
Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data.
BMC Bioinform., 2012
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.
BMC Bioinform., 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. Medical Imaging, 2011
A high-throughput active contour scheme for segmentation of histopathological imagery.
Medical Image Anal., 2011
A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.
Medical Image Anal., 2011
Textural Kinetics: A Novel Dynamic Contrast-Enhanced (DCE)-MRI Feature for Breast Lesion Classification.
J. Digit. Imaging, 2011
Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.
Comput. Medical Imaging Graph., 2011
Computer-aided prognosis: Predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.
Comput. Medical Imaging Graph., 2011
HistoStitcher<sup>©</sup>: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.
Comput. Medical Imaging Graph., 2011
Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.
BMC Bioinform., 2011
An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation.
BMC Bioinform., 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. Eng., 2010
Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology.
IEEE Trans. Biomed. Eng., 2010
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
Medical Image Anal., 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
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010
2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
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
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
2008
Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene and Protein Expression Studies.
IEEE ACM Trans. Comput. Biol. Bioinform., 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.
Comput. Vis. Image Underst., 2006
A Boosting Cascade for Automated Detection of Prostate Cancer from Digitized Histology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Distinguishing Lesions from Posterior Acoustic Shadowing in Breast Ultrasound via Non-Linear Dimensionality Reduction.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Detecting Prostatic Adenocarcinoma From Digitized Histology Using a Multi-Scale Hierarchical Classification Approach.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
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. Medical Imaging, 2005
IEEE Trans. Medical Imaging, 2005
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
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
2003
Combining Low, High-Level and Empirical Domain Specific Knowledge for Automated Segmentation of Ultrasonic Breast Lesions.
IEEE Trans. Medical 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
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000