Digital pathology image analysis: opportunities and challenges

por Madabhushi, Anant
Publicado en Imaging Med (2009)

Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology

por Ali, Sahirzeeshan, Madabhushi, Anant
Publicado 2012

Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data

por Viswanath, Satish, Madabhushi, Anant
Publicado 2012

Statistical Shape Model for Manifold Regularization: Gleason grading of prostate histology

por Sparks, Rachel, Madabhushi, Anant
Publicado 2013

Explicit shape descriptors: Novel morphologic features for histopathology classification

por Sparks, Rachel, Madabhushi, Anant
Publicado 2013

Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images

por Sparks, Rachel, Madabhushi, Anant
Publicado en Sci Rep (2016)

Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

por Janowczyk, Andrew, Madabhushi, Anant
Publicado en J Pathol Inform (2016)

Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology

por Bhargava, Rohit, Madabhushi, Anant
Publicado en Annu Rev Biomed Eng (2016)

Image analysis and machine learning in digital pathology: Challenges and opportunities

por Madabhushi, Anant, Lee, George
Publicado en Med Image Anal (2016)

Class-Specific Weighting for Markov Random Field Estimation: Application to Medical Image Segmentation

por Monaco, James P., Madabhushi, Anant
Publicado 2012

A Hierarchical Unsupervised Spectral Clustering Scheme for Detection of Prostate Cancer from Magnetic Resonance Spectroscopy (MRS)

por Tiwari, Pallavi, Madabhushi, Anant, Rosen, Mark
Publicado 2007

Investigating the Efficacy of Nonlinear Dimensionality Reduction Schemes in Classifying Gene- and Protein-Expression Studies

por Lee, George, Rodriguez, Carlos, Madabhushi, Anant
Publicado 2008

A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS)

por Tiwari, Pallavi, Rosen, Mark, Madabhushi, Anant
Publicado 2009

Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions

por Janowczyk, Andrew, Chandran, Sharat, Madabhushi, Anant
Publicado 2013

Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS

por Tiwari, Pallavi, Kurhanewicz, John, Madabhushi, Anant
Publicado 2012

Identifying MRI markers to evaluate early treatment related changes post laser ablation for cancer pain management

por Tiwari, Pallavi, Danish, Shabbar, Madabhushi, Anant
Publicado 2014

Identifying MRI Markers Associated with Early Response following Laser Ablation for Neurological Disorders: Preliminary Findings

por Tiwari, Pallavi, Danish, Shabbar, Madabhushi, Anant
Publicado en PLoS One (2014)

Predicting Classifier Performance with Limited Training Data: Applications to Computer-Aided Diagnosis in Breast and Prostate Cancer

por Basavanhally, Ajay, Viswanath, Satish, Madabhushi, Anant
Publicado en PLoS One (2015)

Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces

por Sridhar, Akshay, Doyle, Scott, Madabhushi, Anant
Publicado en J Pathol Inform (2015)

Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings

por Toth, Robert, Sperling, Dan, Madabhushi, Anant
Publicado en PLoS One (2016)