Andrew F. Laine

发表

Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis pdf

Elsa D. Angelini, Xinyang Feng, Jie Yang, 2018, ArXiv.

Directional Representations of 4D Echocardiography for Temporal Quantification of LV Volume

Elsa D. Angelini, Andrew F. Laine, Shin Takuma, 1999, MICCAI.

Multiscale suboctave wavelet transform for denoising and enhancement

Andrew F. Laine, Xuli Zong, A. Laine, 1996, Optics & Photonics.

Electric field characteristics of electroconvulsive therapy with individualized current amplitude: A preclinical study

Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study

Eric A. Hoffman, Elsa D. Angelini, Jie Yang, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data

Elsa D. Angelini, J. John Mann, Ramin V. Parsey, 2015, IEEE Journal of Biomedical and Health Informatics.

Using Perturbation Theory to Compute the Morphological Similarity of Diffusion Tensors

Dongrong Xu, Lawrence H. Staib, Ravi Bansal, 2008, IEEE Transactions on Medical Imaging.

Calculation of the confidence intervals for transformation parameters in the registration of medical images

Dongrong Xu, Lawrence H. Staib, Ravi Bansal, 2009, Medical Image Anal..

A Systematic Approach Toward Reliable Atherosclerotic Plaque Characterization in IVUS Images

Nassir Navab, Andrew F. Laine, Athanasios Karamalis, 2012, Bildverarbeitung für die Medizin.

Stimulation strength and focality of electroconvulsive therapy and magnetic seizure therapy in a realistic head model

Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Spatio-Temporal Directional Analysis of Real-Time Three Dimensional Cardiac Ultrasound

Elsa D. Angelini, Andrew F. Laine, 2001 .

An automated three-dimensional plus time registration framework for dynamic MR renography

Ting Song, Qun Chen, Andrew F. Laine, 2010, J. Vis. Commun. Image Represent..

Combining brain imaging data with electronic health records to non-invasively quantify [11C]DASB binding

J. John Mann, Ramin V. Parsey, R. Todd Ogden, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Wavelet CFAR detector for mass detection in mammography

John G. Harris, Andrew F. Laine, Walter Huda, 1998, Defense, Security, and Sensing.

Level Set Segmentation of Geographic Atrophy in Macular Autofluorescence Images

Andrew F. Laine, Noah Lee, Irene Barbazetto, 2006 .

Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2014, IEEE Transactions on Medical Imaging.

Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography

Nassir Navab, Pranab K. Dutta, Abhijit Guha Roy, 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI).

On de-cluttering and de-noising ultrasound images with Time-domain Compressive Beamforming

Andrew F. Laine, Bo Zhang, Guillaume David, 2016, 2016 IEEE International Ultrasonics Symposium (IUS).

Controlled Field Entries versus Free Text in a Clinical/ Research Emr

Jianing Shi, Andrew F. Laine, Noah Lee, 2010 .

LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography

Elsa D. Angelini, Andrew F. Laine, Shin Takuma, 2001, IEEE Transactions on Medical Imaging.

Toward diagnostic criteria for left ventricular systolic dysfunction from myocardial deformation

Elsa D. Angelini, Andrew F. Laine, Viktor Gamarnik, 2014, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).

Anatomical variability predicts individual differences in transcranial electric stimulation motor threshold

Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Quantifying Brain [18F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data

J. John Mann, R. Todd Ogden, Andrew F. Laine, 2019, IEEE Journal of Biomedical and Health Informatics.

A numerical observer for task-based assessment on kinetic parametric imaging

Quanzheng Li, Andrew F. Laine, Georges El Fakhri, 2014 .

Adaptive approach for texture segmentation by multichannel wavelet frames

Jian Fan, Andrew F. Laine, A. Laine, 1993, Optics & Photonics.

Numerical observer for atherosclerotic plaque classification in spectral computed tomography

Andrew F. Laine, Georges El Fakhri, Yothin Rakvongthai, 2016, Journal of medical imaging.

Comparison of a dyadic wavelet image enhancement algorithm with unsharp masking and median filtering for mammography

Janice C. Honeyman-Buck, Jian Fan, Andrew F. Laine, 1995, Medical Imaging.

Combined MR data acquisition of multicontrast images using variable acquisition parameters and K-space data sharing

Andrew F. Laine, Ed X. Wu, Ralf Mekle, 2003, IEEE Transactions on Medical Imaging.

Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans

Jayaram K. Udupa, Wei Shen, Andrew F. Laine, 2003, MICCAI.

Brushlet segmentation for automatic detection of lumen borders in IVUS images: A comparison study

Elsa D. Angelini, Andrew F. Laine, Amin Katouzian, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Welcome message: 4th IEEE International Conference on Biomedical Health Informatics (BHI2017)

Stephen T. C. Wong, May D. Wang, Andrew F. Laine, 2017 .

Mammographic feature enhancement by multiscale analysis

Jian Fan, Andrew F. Laine, Walter Huda, 1994, IEEE Trans. Medical Imaging.

Quantitative evaluation of wavelet-based image processing algorithms

Jian Fan, Andrew F. Laine, Walter Huda, 1994, Optics & Photonics.

BM3D-based ultrasound image denoising via brushlet thresholding

Elsa D. Angelini, Yu Gan, Andrew F. Laine, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Enhancement via fusion of mammographic features

Fred J. Taylor, Andrew F. Laine, Iztok Koren, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Level set-based tracking of the endocardium without a shape prior from 3D ultrasound images

Andrew F. Laine, Jeffrey W. Holmes, Yrjö Tapio Hame, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

High-speed feature-based stereo matching

Gruia-Catalin Roman, Andrew F. Laine, 1989 .

Augmenting CT cardiac roadmaps with segmented streaming ultrasound

Andrew F. Laine, Qi Duan, Douglas Stanton, 2007, SPIE Medical Imaging.

Circle recognition through a 2D Hough Transform and radius histogramming

Andrew F. Laine, Walter Huda, Dimitrios Ioannou, 1999, Image Vis. Comput..

Multiscale wavelet representations for mammographic feature analysis

Andrew F. Laine, Shuwu Song, A. Laine, 1992, Optics & Photonics.

Homogeneity measures for multiphase level set segmentation of brain MRI

Ting Song, Elsa D. Angelini, Andrew F. Laine, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

Hexagonal wavelet representations for recognizing complex annotations

Andrew F. Laine, Sergio Schuler, A. Laine, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Health-Care Technology [From the Guest Editor]

Andrew F. Laine, Nicolas Wadih Chbat, Emilio Sacristan, 2010 .

COMPLEX ANNOTATIONS IN ENGINEERING DOCUMENTS A MULTISCALE APPROACH FOR RECOGNIZING

Andrew F. Laine, Arun Kumar, William Ball, 1991 .

Improving PET-based physiological quantification through methods of wavelet denoising

Andrew F. Laine, Jou-Wei Lin, Steven R. Bergmann, 2001, IEEE Transactions on Biomedical Engineering.

Adaptive multiscale processing for contrast enhancement

Jian Fan, Andrew F. Laine, Janice C. Honeyman, 1993, Electronic Imaging.

Overcomplete lifted wavelet representations for multiscale feature analysis

Andrew F. Laine, Minbo Shim, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

An incremental and optimized learning method for the automatic classification of protein crystal images

Elsa D. Angelini, Andrew F. Laine, Casey Chiu, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Multimodal Image Registration Using the Fully Automated Harris-Invariant Feature Descriptor

Andrew F. Laine, R. T. Smith, Noah Lee, 2009 .

Registration and Segmentation of Dynamic Three-dimensional MR Renography Based on Fourier Representations and K- Means Clustering

Ting Song, Andrew F. Laine, Henry Rusinek, 2005 .

Tracking of LV Endocardial Surface on Real-Time Three-Dimensional Ultrasound with Optical Flow

Elsa D. Angelini, Andrew F. Laine, Olivier Gérard, 2005, FIMH.

A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration

Jie Tian, Andrew F. Laine, Jian Zheng, 2010, IEEE Transactions on Biomedical Engineering.

Encoding Human Cortex Using Spherical CNNs - A Study on Alzheimer's Disease Classification

Jie Yang, Andrew F. Laine, Elsa D. Angelini, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Adaptive speed term based on homogeneity for level-set segmentation

Andrew F. Laine, Celina Imielinska, Yinpeng Jin, 2002, SPIE Medical Imaging.

A multiscale approach for recognizing complex annotations in engineering documents

Andrew F. Laine, Arun Kumar, William E. Ball, 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Quantitative validation of optical flow based myocardial strain measures using sonomicrometry

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A parallel algorithm for incremental stereo matching on SIMD machines

Gruia-Catalin Roman, Andrew F. Laine, A. Laine, 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record

Andrew F. Laine, Noah Lee, N. Lee, 2011 .

Trends in Bio Imaging and Signal Processing

Jean-Christophe Olivo-Marin, Michael Unser, Andrew F. Laine, 2011 .

De-noising and contrast enhancement via wavelet shrinkage and nonlinear adaptive gain

David C. Wilson, Andrew F. Laine, Xuli Zong, 1996, Defense + Commercial Sensing.

Classification of blood regions in IVUS images using three dimensional brushlet expansions

Elsa D. Angelini, Andrew F. Laine, M. Alper Selver, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Coherence of multiscale features and its applications for enhancement of mammograms

Chun-Ming Chang, Andrew F. Laine, A. Laine, 1997 .

Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization

Nassir Navab, Abhijit Guha Roy, Sailesh Conjeti, 2016, Medical Image Anal..

Time domain compressive beamforming: Application to in-vivo echocardiography

Andrew F. Laine, Bo Zhang, Guillaume David, 2015, 2015 IEEE International Ultrasonics Symposium (IUS).

Detection and Enhancement of Small Masses via Precision Multiscale Analysis

Chun-Ming Chang, Andrew F. Laine, Dongwei Chen, 1998, ACCV.

Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: Influence of white matter anisotropic conductivity

Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, 2012, NeuroImage.

Image fusion using steerable dyadic wavelet transform

Fred J. Taylor, Andrew F. Laine, Iztok Koren, 1995, Proceedings., International Conference on Image Processing.

Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI

Elsa D. Angelini, Jie Yang, Xinyang Feng, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Recognition of micro-array protein crystals images using multi-scale representations

Ya Wang, Elsa D. Angelini, David H. Kim, 2005, SPIE Medical Imaging.

Harmonic multiresolution estimators for denoising and regularization of SPECT-PET data

Elsa D. Angelini, Andrew F. Laine, Jérôme Kalifa, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features pdf

Andrew F. Laine, Chen Liu, Tal Danino, 2020, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Orthonormal wavelet representations for recognizing complex annotations

Andrew F. Laine, Sergio Schuler, V. Girish, 1993, Machine Vision and Applications.

De-noising via wavelet transforms using steerable filters

Chun-Ming Chang, Andrew F. Laine, A. Laine, 1995, Proceedings of ISCAS'95 - International Symposium on Circuits and Systems.

Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks

Nassir Navab, Pranab K. Dutta, Abhijit Guha Roy, 2016, IEEE Journal of Biomedical and Health Informatics.

Thin Client Performance for Remote 3-D Image Display

Jason Nieh, Justin Starren, Andrew F. Laine, 2003, AMIA.

Integrated Four Dimensional Registration and Segmentation of Dynamic Renal MR Images

Ting Song, Andrew F. Laine, Henry Rusinek, 2006, MICCAI.

Improving statistics for hybrid segmentation of high-resolution multichannel images

Andrew F. Laine, Celina Imielinska, Yinpeng Jin, 2002, SPIE Medical Imaging.

High-speed Recognition of Micro-array Genomic Images Using Multi-scale Representations

Elsa D. Angelini, David H. Kim, Andrew F. Laine, 2004 .

A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data

Fei Wang, Jimeng Sun, Shahram Ebadollahi, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Interactive complexity control and high-speed stereo matching

Gruia-Catalin Roman, Andrew F. Laine, Kenneth C. Cox, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

Real-time segmentation by Active Geometric Functions

Elsa D. Angelini, Andrew F. Laine, Qi Duan, 2010, Comput. Methods Programs Biomed..

Class-Aware Adversarial Lung Nodule Synthesis In CT Images

Jie Yang, Dorin Comaniciu, Andrew F. Laine, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Automatic scale detection

John G. Harris, Andrew F. Laine, Dongwei Chen, 1996, Other Conferences.

Coherence of multiscale features for enhancement of digital mammograms

Chun-Ming Chang, Andrew F. Laine, A. Laine, 1999, IEEE Transactions on Information Technology in Biomedicine.

Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound

Nassir Navab, Peter B. Noël, Ajoy Kumar Ray, 2014, Medical Image Anal..

User Interactive Retinal Image Analysis: Realizing the Practical Digital Promise

Jianing Shi, Andrew F. Laine, Noah Lee, 2009 .

Erratum To: Real-Time 4D Cardiac Segmentation by Active Geometric Functions

Jasjit S. Suri, Andrew F. Laine, Qi Duan, 2012 .

Multiscale segmentation through a radial basis neural network

Anke Meyer-Bäse, Andrew F. Laine, Xuli Zong, 1997, Proceedings of International Conference on Image Processing.

Locally weighted total variation denoising for ringing artifact suppression in pet reconstruction using PSF modeling

Elsa D. Angelini, Bing Bai, Andrew F. Laine, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Using Perturbation theory to reduce noise in diffusion tensor fields

Jun Liu, Dongrong Xu, Lawrence H. Staib, 2009, Medical Image Anal..

Regularization in tomographic reconstruction using thresholding estimators

Andrew F. Laine, Jérôme Kalifa, Peter D. Esser, 2001, SPIE Optics + Photonics.

Automatic detection of blood versus non-blood regions on intravascular ultrasound (IVUS) images using wavelet packet signatures

Elisa E. Konofagou, Andrew F. Laine, Amin Katouzian, 2008, SPIE Medical Imaging.

Visual textures, machine vision and animal camouflage.

Andrew F. Laine, Richard A. Kiltie, A. Laine, 1992, Trends in ecology & evolution.

Real-Time 4D Cardiac Segmentation by Active Geometric Functions

Andrew F. Laine, Jasjit S. Suri, Qi Duan, 2012 .

Real-time myocardial segmentation using coupled active geometric functions

Andrew F. Laine, Qi Duan, Vinay M. Pai, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Cardiac Motion Analysis Based on Optical Flow on Real-Time Three- Dimensional Ultrasound Data

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2006 .

Electric Field Model of Transcranial Electric Stimulation in Nonhuman Primates: Correspondence to Individual Motor Threshold

Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, 2015, IEEE Transactions on Biomedical Engineering.

Real-time segmentation of 4D ultrasound by Active Geometric Functions

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Equating emphysema scores and segmentations across CT reconstructions: A comparison study

Elsa D. Angelini, Andrew F. Laine, R. Graham Barr, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Multimodal classification of Dementia using functional data, anatomical features and 3D invariant shape descriptors

Ramin V. Parsey, Andrew F. Laine, Pablo Martínez-Nuevo, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation

Elsa D. Angelini, Haofeng Zhang, Andrew F. Laine, 2020, MICCAI.

Discrete dyadic wavelets for contrast enhancement

Jian Fan, Andrew F. Laine, Sergio Schuler, 1994, Optics & Photonics.

Resting state inter and intra hemispheric human brain functional connectivity

Qolamreza R. Razlighi, Andrew F. Laine, Yaakov Stern, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Texton and sparse representation based texture classification of lung parenchyma in CT images

Elsa D. Angelini, Jie Yang, Xinyang Feng, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Leveraging genetic algorithm and neural network in automated protein crystal recognition

Andrew F. Laine, Ming Jack Po, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Wavelet processing techniques for digital mammography

Andrew F. Laine, Shuwu Song, A. Laine, 1992, Other Conferences.

Breast imaging Mammographic image processing using wavelet processing techniques

Andrew F. Laine, Janice C. Honeyman, Walter Huda, 1995 .

Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart

Dominique Chapelle, Elsa D. Angelini, Philippe Moireau, 2007, FIMH.

Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study pdf

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2020, IEEE Transactions on Medical Imaging.

Spatiotemporal directional analysis of 4D echocardiography

Andrew F. Laine, Shin Takuma, Shunichi Homma, 2000, SPIE Optics + Photonics.

An Alternative Approach to Spectrum-Based Atherosclerotic Plaque Characterization Techniques Using Intravascular Ultrasound (IVUS) Backscattered Signals

Elisa E. Konofagou, Andrew F. Laine, Amin Katouzian, 2008 .

Training Set

Akram Aldroubi, Andrew F. Laine, Martine J. Silbermann, 2010, Encyclopedia of Machine Learning.

Causal Markov random field for brain MR image segmentation

Qolamreza R. Razlighi, Andrew F. Laine, Yaakov Stern, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study

Eric A. Hoffman, Elsa D. Angelini, Yu Gan, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Substituting Gadolinium in Brain MRI Using DeepContrast

Andrew F. Laine, Chen Liu, Jia Guo, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study

Ting Song, Elsa D. Angelini, Andrew F. Laine, 2007, Int. J. Biomed. Imaging.

A parallel algorithm for incremental stereo matching on SIMD machines

Gruia-Catalin Roman, Andrew F. Laine, 1991, IEEE Trans. Robotics Autom..

Hexagonal wavelet processing of digital mammography

Janice C. Honeyman-Buck, Andrew F. Laine, Walter Huda, 1993 .

Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography

Elsa D. Angelini, Bruno Vallet, Andrew F. Laine, 2006, SPIE Medical Imaging.

Hunting for necrosis in the shadows of intravascular ultrasound

Nassir Navab, Peter B. Noël, Ajoy Kumar Ray, 2014, Comput. Medical Imaging Graph..

Robust quantification of pulmonary emphysema with a Hidden Markov Measure Field model

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Retinal vessel segmentation using multi-scale wavelet frame analysis

Andrew F. Laine, Noah Lee, R. Theodore Smith, 2007 .

True-false lumen segmentation of aortic dissection using multi-scale wavelet analysis and generative-discriminative model matching

Andrew F. Laine, Hüseyin Tek, Noah Lee, 2008, SPIE Medical Imaging.

Non-invasive quantification of brain [18F]-FDG uptake by combining medical health records and dynamic PET imaging data

Elsa D. Angelini, J. John Mann, R. Todd Ogden, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Comparison of ventricular geometry for two real time 3D ultrasound machines with three dimensional level set

Elsa D. Angelini, Andrew F. Laine, Ryo Otsuka, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Lumen Border Detection of Intravascular Ultrasound via Denoising of Directional Wavelet Representations

Elsa D. Angelini, Andrew F. Laine, Auranuch Lorsakul, 2009, FIMH.

Impact of temporal resolution on LV myocardial regional strain assessment with real-time 3D ultrasound

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Border identification of echocardiograms via multiscale edge detection and shape modeling

Andrew F. Laine, Xuli Zong, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

Activation detection in fMRI data via multiscale singularity detection

Andrew F. Laine, Ralf Mekle, Gerard M. Perera, 2000, SPIE Optics + Photonics.

Stimulation strength and focality of electroconvulsive therapy with individualized current amplitude: A preclinical study

Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Visualization of mammograms via fusion of enhanced features

Fred J. Taylor, Andrew F. Laine, Iztok Koren, 1999 .

Towards a deep learning approach to brain parcellation

Arno Klein, Andrew F. Laine, Noah Lee, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

De-noising SPECT/PET Images Using Cross-Scale Regularization

Elsa D. Angelini, Andrew F. Laine, Yinpeng Jin, 2003, MICCAI.

Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison With Virtual Histology

Nassir Navab, Elisa E. Konofagou, Andrew F. Laine, 2012, IEEE Transactions on Biomedical Engineering.

Retrospective detection of interleaved slice acquisition parameters from fMRI data

Qolamreza R. Razlighi, Andrew F. Laine, David Parker, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study

Eric A. Hoffman, Elsa D. Angelini, Jie Yang, 2016, MICCAI.

A wavelet based mammographic system

Fred J. Taylor, Andrew F. Laine, Michael Lewis, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Evaluation of a multiscale enhancement protocol for digital mammography

Andrew F. Laine, Ralf Mekle, Suzanne J. Smith, 2000, SPIE Optics + Photonics.

Segmentation and quantitative evaluation of brain MRI data with a multiphase 3D implicit deformable model

Ting Song, Elsa D. Angelini, Andrew F. Laine, 2004, SPIE Medical Imaging.

Texture-driven coronary artery plaque characterization using wavelet packet signatures

Elisa E. Konofagou, Andrew F. Laine, Amin Katouzian, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Coarse to fine segmentation of Stargardt rings using an expert guided dual ellipse model

Andrew F. Laine, Noah Lee, R. Theodore Smith, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Interactive segmentation in multimodal brain imagery using a Bayesian transductive learning approach

Shahram Ebadollahi, Jesus J. Caban, Andrew F. Laine, 2009, Medical Imaging.

A review of imaging techniques for systems biology

Ting Song, Andrew F. Laine, Qi Duan, 2008, BMC Systems Biology.

Comparison of segmentation methods for analysis of endocardial wall motion with real-time three-dimensional ultrasound

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2002, Computers in Cardiology.

Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study

Eric A. Hoffman, Elsa D. Angelini, Jie Yang, 2017, MICCAI.

Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Remote Display Performance for Wireless Healthcare Computing

Jason Nieh, Justin Starren, Andrew F. Laine, 2004, MedInfo.

Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study

Eric A. Hoffman, Elsa D. Angelini, Jie Yang, 2016, MCV/BAMBI@MICCAI.

Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Chapter 3 – Enhancement by Multiscale Nonlinear Operators

Andrew F. Laine, A. Laine, 2009 .

A Parallel Algorithm for High-Speed Stereo Matching

Gruia-Catalin Roman, Andrew F. Laine, 1989 .

Enhancement by multiscale nonlinear operators

Andrew F. Laine, Walter Huda, A. Laine, 2000 .

Homomorphic wavelet shrinkage and feature emphasis for speckle reduction and enhancement of echocardiographic images

Andrew F. Laine, David Clifford Wilson, Xuli Zong, 1996, Medical Imaging.

Multiscale Contrast Enhancement and Denoising in Digital Radiographs

Andrew F. Laine, Jian Fan, A. Laine, 2017 .

Tissue specific arterial spin labeling fMRI: A superior method for imaging cerebral blood flow in aging and disease

Andrew F. Laine, Joy Hirsch, Iris Asllani, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Multiresolution stereo algorithm via wavelet representations for autonomous navigation

Andrew F. Laine, John Jay Kurtz, Minbo Shim, 1999, Defense, Security, and Sensing.

Quantitative detection of left ventricular dyssynchrony from cardiac computed tomography angiography

Andrew F. Laine, Ming Jack Po, Monvadi Barbara Srichai, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Concept detection in longitudinal brain MR images using multi-modal cues

Shahram Ebadollahi, John R. Kender, Jesus J. Caban, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing

Andrew F. Laine, Xuli Zong, Edward A. Geiser, 1998, IEEE Transactions on Medical Imaging.

Trends in Bioimaging and Signal Processing [In the Spotlight]

Jean-Christophe Olivo-Marin, Boudewijn P. F. Lelieveldt, Michael Unser, 2011, IEEE Signal Process. Mag..

Fusion of brushlet and wavelet denoising methods for nuclear images

Elsa D. Angelini, Andrew F. Laine, Yinpeng Jin, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

Brain tissue selection procedures for image derived input functions derived using independent components analysis

Ramin V. Parsey, Andrew F. Laine, Arthur Mikhno, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Locally weighted total variation denoising for PSF modeling artifact suppression in PET reconstruction

Elsa D. Angelini, Andrew F. Laine, Arthur Mikhno, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Microrobotic Streak Seeding For Protein Crystal Growth

Ting Song, Peter K. Allen, Andrew F. Laine, 2005, Robotics: Science and Systems.

Regularization in tomographic reconstruction using thresholding estimators

Andrew F. Laine, Jérôme Kalifa, Peter D. Esser, 2003, IEEE Transactions on Medical Imaging.

Contrast Enhancement by Multiscale and Nonlinear Operators

Andrew F. Laine, Jian Fan, 1996 .

Influence of white matter conductivity anisotropy on electric field strength induced by electroconvulsive therapy

Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Introduction

Andrew F. Laine, André Lainé, 2005, Journal of Mathematical Imaging and Vision.

Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening

Jia Guo, Andrew F. Laine, Sang Won Lee, 2020, ArXiv.

Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients

Fei Wang, Jimeng Sun, Shahram Ebadollahi, 2011, 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology.

Faster, higher quality volume visualization for 3D medical imaging

Ting Song, Andrew F. Laine, Alan D. Kalvin, 2008, SPIE Medical Imaging.

Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules

Elsa D. Angelini, Jie Yang, Xinyang Feng, 2017, MICCAI.

Contrast enhancement by multiscale adaptive histogram equalization

Andrew F. Laine, Laura M. Fayad, Yinpeng Jin, 2001, SPIE Optics + Photonics.

Frame representations for texture segmentation

Jian Fan, Andrew F. Laine, A. Laine, 1996, IEEE Trans. Image Process..

Bayesian transduction and Markov conditional mixtures for spatiotemporal interactive segmentation

Shahram Ebadollahi, Andrew F. Laine, Noah Lee, 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.

Simulated phantom images for optimizing wavelet-based image processing algorithms in mammography

Jian Fan, Andrew F. Laine, Walter Huda, 1994, Optics & Photonics.

Segmentation of 4D MR renography images using temporal dynamics in a level set framework

Ting Song, Qun Chen, Andrew F. Laine, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Adaptive spatial-temporal filtering applied to x-ray fluoroscopy angiography

Andrew F. Laine, Marc Schrijver, Qi Duan, 2005, SPIE Medical Imaging.

Tomographic reconstruction with nonlinear diagonal estimators

Andrew F. Laine, Jérôme Kalifa, Peter D. Esser, 2000, SPIE Optics + Photonics.

Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2009, FIMH.

Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study

Jie Yang, Elsa D. Angelini, Andrew F. Laine, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Texture Classification by Wavelet Packet Signatures

Jian Fan, Andrew F. Laine, A. Laine, 1993, MVA.

Bayesian Transductive Markov Random Fields for Interactive Segmentation in Retinal Disorders

Andrew F. Laine, Noah Lee, R. Theodore Smith, 2009 .

Segmentation of Masses Using Continuous Scale Representations

John G. Harris, Andrew F. Laine, Walter Huda, 1996 .

CALL FOR PAPERS: ISBI'06 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro

Alfred O. Hero, Jayaram K. Udupa, Yue Wang, 2006 .

VALIDATION OF OPTICAL-FLOW FOR QUANTIFICATION OF MYOCARDIAL DEFORMATIONS ON SIMULATED RT3D ULTRASOUND

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Wavelet descriptors for multiresolution recognition of handprinted characters

Andrew F. Laine, Patrick Wunsch, A. Laine, 1995, Pattern Recognit..

A momentum-based constraint on optical flow tracking of the endocardial surface

Andrew F. Laine, Auranuch Lorsakul, Ming Jack Po, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Wavelets in Medical Imaging

Michael Unser, Akram Aldroubi, Andrew F. Laine, 2003, IEEE Trans. Medical Imaging.

Automatic 4-D Registration in Dynamic MR Renography

Ting Song, Andrew F. Laine, Henry Rusinek, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images

Nassir Navab, Elsa D. Angelini, Jasjit S. Suri, 2012, IEEE Transactions on Information Technology in Biomedicine.

Multi-phase Three-Dimensional Level Set Segmentation of Brain MRI

Ting Song, Elsa D. Angelini, Andrew F. Laine, 2004, MICCAI.

Surface Function Actives

Elsa D. Angelini, Andrew F. Laine, Qi Duan, 2009, J. Vis. Commun. Image Represent..

Interactive wavelet processing and techniques applied to digital mammography

Fred J. Taylor, Andrew F. Laine, Iztok Koren, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Edge detection in echocardiographic image sequences by 3-D multiscale analysis

Fred J. Taylor, Jian Fan, Andrew F. Laine, 1994, Proceedings of 1st International Conference on Image Processing.

Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment

Nassir Navab, Pranab K. Dutta, Abhijit Guha Roy, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Rapid search for spherical objects in aerial photographs

Gruia-Catalin Roman, Andrew F. Laine, Kenneth C. Cox, 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

On the uniqueness of the representation of a convex polygon by its Hough transform

Edward T. Dugan, Andrew F. Laine, Dimitrios Ioannou, 1996, Pattern Recognit. Lett..

Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers

Yun Wang, Andrew F. Laine, Jonathan Posner, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Enhanced-Quality Gan (EQ-GAN) on Lung CT Scans: Toward Truth and Potential Hallucinations

Elsa D. Angelini, Andrew F. Laine, Martin Jammes-Floreani, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Improving Across-Dataset Brain Tissue Segmentation Using Transformer

Andrew F. Laine, Ye Tian, Jia Guo, 2022 .

Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study

Eric A. Hoffman, Elsa D. Angelini, Andrew F. Laine, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Automated Multi-Process CTC Detection using Deep Learning pdf

Andrew F. Laine, Elena Ivanova, Kam W. Leong, 2021, ArXiv.

Sub-octave wavelet representations and applications for medical image processing

Andrew F. Laine, Xuli Zong, 1997 .

Multiscale denoising and enhancement of 3D rotational X-ray imaging for percutaneous vertebroplasty

Elsa D. Angelini, Andrew F. Laine, Yinpeng Jin, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Quantification of right and left ventricular function with real-time three-dimensional ultrasound

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic detection of luminal borders in IVUS images by magnitude-phase histograms of complex brushlet coefficients

Elsa D. Angelini, Andrew F. Laine, Amin Katouzian, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Handprinted character recognition by voronoi skeletons

Andrew F. Laine, Niranjan R. Mayya, 1994 .

Concept-oriented access to longitudinal multimedia medical records: A case study in brain tumor patient management

James W. Cooper, Shahram Ebadollahi, Chalapathy Neti, 2009 .

Wavelet Applications in Signal and Image Processing II: 27-29 July 1994, San Diego, California

Michael Unser, Andrew F. Laine, Andrew F. Laine, 1994 .

Wavelet Representations for Digital Mammography

Andrew F. Laine, 1994 .

Methods in Atherosclerotic Plaque Characterization Using Intravascular Ultrasound Images and Backscattered Signals

Andrew F. Laine, Amin Katouzian, Stéphane G. Carlier, 2011 .

Wavelet applications in signal and image processing VIII : 31 July-4 August, 2000, San Diego, USA

Michael Unser, Akram Aldroubi, Andrew F. Laine, 2000 .

A Fast Algorithm to Support Interactive Wavelet Processing on a Radiologist Workstation

Andrew F. Laine, Minbo Shim, 1997 .

In the Spotlight: Biomedical Imaging

Andrew F. Laine, A. Laine, 2013, IEEE Reviews in Biomedical Engineering.

Segmentation of RT3D ultrasound with implicit deformable models without gradients

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

In-vivo clinical validation of cardiac deformation and strain measurements from 4D ultrasound

Andrew F. Laine, Shunichi Homma, Qi Duan, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Wavelet Theory and Application

Andrew F. Laine, A. Laine, 1993, Springer US.

Contrast enhancement by dyadic wavelet analysis

Jian Fan, Andrew F. Laine, Sergio Schuler, 1994, Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Tracking Endocardium Using Optical Flow along Iso-Value Curve

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Spatio-temporal brushlet denoising improves real time three-dimensional calculation of right ventricular function in primary pulmonary hypertension patients

Elsa D. Angelini, Andrew F. Laine, Shunichi Homma, 2002 .

Applications of Multiscale Overcomplete Wavelet-Based Representations in Intravascular Ultrasound (IVUS) Images

Elisa E. Konofagou, Elsa D. Angelini, Andrew F. Laine, 2012 .

Detection of masses in mammography through redundant expansions of scale

Andrew F. Laine, V. Laffont, F. Durupt, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Anatomical Brain Images Alone Can Accurately Diagnose Chronic Neuropsychiatric Illnesses

Jun Liu, Dongrong Xu, Lawrence H. Staib, 2012, PloS one.

A Discrete Dyadic Wavelet Transform for Multidimensional Feature Analysis

Andrew F. Laine, Iztok Koren, A. Laine, 1997 .

Symmetry Identification Using Partial Surface Matching and Tilt Correction in 3D Brain Images

Andrew F. Laine, Celina Imielinska, Anthony L. D'Ambrosio, 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

Regional electric field induced by electroconvulsive therapy: A finite element simulation study

Sarah H. Lisanby, Andrew F. Laine, Angel V. Peterchev, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images

Andrew F. Laine, R. Theodore Smith, Noah Lee, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

SPECIAL ISSUE ON WAVELETS IN MEDICAL IMAGING

Michael Unser, Akram Aldroubi, Andrew F. Laine, 2003 .