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ORCIDAndrew F. Laine
Andrew Laine
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- affiliation: Columbia University, New York City, USA
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2020 – today
- 2024
[c122]Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. CVPR 2024: 5851-5862- [c121]Pin-Yu Lee, Shubh P. Mehta, Anurag Sharma, Hong-Jian Wei, Antonios N. Pouliopoulos, Yanting Yang
, Chenghao Zhang, Andrew F. Laine, Elisa E. Konofagou, Cheng-Chia Wu, Jia Guo:
Deep Learning Enables Reduced Gadolinium Dose for Contrast-Enhanced Blood-Brain Barrier Opening Quantitative Measurement. ISBI 2024: 1-5 - [c120]Sneha N. Naik, Elsa D. Angelini, R. Graham Barr, Norrina Allen, Alain Bertoni, Eric A. Hoffman, Ani Manichaikul, Jim Pankow, Wendy Post, Yifei Sun, Karol E. Watson, Benjamin M. Smith, Andrew F. Laine:
Unsupervised Airway Tree Clustering with Deep Learning: the Multi-Ethnic Study of Atherosclerosis (Mesa) Lung Study. ISBI 2024: 1-5 - [c119]Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Robust Quantification of Percent Emphysema on CT Via Domain Attention: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. ISBI 2024: 1-5 - [i18]Xuzhe Zhang, Elsa D. Angelini, Eric A. Hoffman, Karol E. Watson, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Robust Quantification of Percent Emphysema on CT via Domain Attention: the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. CoRR abs/2402.18383 (2024) - [i17]Artur Wysoczanski, Nabil Ettehadi, Soroush Arabshahi, Yifei Sun, Karen Hinkley Stukovsky, Karol E. Watson, MeiLan K. Han, Erin D. Michos, Alejandro P. Comellas, Eric A. Hoffman, Andrew F. Laine, R. Graham Barr, Elsa D. Angelini:
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies. CoRR abs/2403.00257 (2024) - 2023
- [j44]Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Cardiac Adipose Tissue Segmentation via Image-Level Annotations. IEEE J. Biomed. Health Informatics 27(6): 2932-2943 (2023) - [c118]Ye Tian, Geoffrey Wu, Srilaxmi Bearelly, Andrew Laine, Kaveri A. Thakoor, Liat Shenhav:
DVT-Net: A Multimodal Deep Vascular Topology Network for Disease Prediction. ISBI 2023: 1-5 - [c117]Artur Wysoczanski, Elsa D. Angelini, Yifei Sun, Benjamin M. Smith, Eric A. Hoffman, Karen Stukovsky, Matthew J. Budoff, Karol E. Watson, John Jeffrey Carr, Elizabeth C. Oelsner, R. Graham Barr, Andrew F. Laine:
Multi-View Cnn For Total Lung Volume Inference On Cardiac Computed Tomography. ISBI 2023: 1-5 - [i16]Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI. CoRR abs/2303.09373 (2023) - [i15]Aaron Cao, Vishwanatha M. Rao, Kejia Liu, Xinru Liu, Andrew F. Laine, Jia Guo:
TABSurfer: a Hybrid Deep Learning Architecture for Subcortical Segmentation. CoRR abs/2312.08267 (2023) - 2022
- [j43]Yun Wang, Fateme Sadat Haghpanah, Xuzhe Zhang, Katie Santamaria, Gabriela Koch da Costa Aguiar Alves, Elizabeth Bruno, Natalie Aw, Alexis Maddocks, Cristiane S. Duarte, Catherine Monk, Andrew Laine, Jonathan Posner:
ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates. Brain Informatics 9(1): 12 (2022) - [j42]Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang:
PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers. IEEE Trans. Medical Imaging 41(10): 2925-2940 (2022) - [c116]Nanyan Zhu, Chen Liu, Britney Forsyth, Zakary S. Singer, Andrew F. Laine, Tal Danino, Jia Guo:
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features. EMBC 2022: 2115-2118 - [c115]Anjali Doshi, Marian Shaw, Ruxandra Tonea, Rosalía Minyety, Soonhee Moon, Andrew Laine, Jia Guo, Tal Danino:
A Deep Learning Pipeline For Segmentation of Proteus Mirabilis Colony Patterns. ISBI 2022: 1-5 - [i14]Vishwanatha M. Rao, Zihan Wan, David J. Ma, Pin-Yu Lee, Ye Tian, Andrew F. Laine, Jia Guo:
Improving Across-Dataset Brain Tissue Segmentation Using Transformer. CoRR abs/2201.08741 (2022) - [i13]Ziyi Huang, Yu Gan, Theresa Lye, Yanchen Liu, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Cardiac Adipose Tissue Segmentation via Image-Level Annotations. CoRR abs/2206.04238 (2022) - 2021
- [j41]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study. IEEE Trans. Medical Imaging 40(12): 3652-3662 (2021) - [c114]Nabil Ettehadi, Xuzhe Zhang, Yun Wang, David Semanek, Jia Guo, Jonathan Posner, Andrew F. Laine:
Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers. EMBC 2021: 2756-2760 - [c113]Martin Jammes-Floreani, Andrew F. Laine, Elsa D. Angelini:
Enhanced-Quality Gan (EQ-GAN) on Lung CT Scans: Toward Truth and Potential Hallucinations. ISBI 2021: 20-23 - [c112]Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. ISBI 2021: 550-553 - [c111]Artur Wysoczanski, Elsa D. Angelini, Benjamin M. Smith, Eric A. Hoffman, Grant T. Hiura, Yifei Sun, R. Graham Barr, Andrew F. Laine:
Unsupervised Clustering Of Airway Tree Structures On High-Resolution CT: The Mesa Lung Study. ISBI 2021: 1568-1572 - [c110]Mingyang Zang, Artur Wysoczanski, Elsa D. Angelini, Andrew F. Laine:
3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT. KiTS@MICCAI 2021: 143-150 - [i12]Ziyi Huang, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon, Yu Gan:
Co-Seg: An Image Segmentation Framework Against Label Corruption. CoRR abs/2102.00523 (2021) - [i11]Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang:
PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer. CoRR abs/2105.13993 (2021) - [i10]Xinzi He, Jia Guo, Xuzhe Zhang, Hanwen Bi, Sarah E. Gerard, David W. Kaczka, Amin Motahari, Eric A. Hoffman, Joseph M. Reinhardt, R. Graham Barr, Elsa D. Angelini, Andrew Laine:
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans. CoRR abs/2106.07608 (2021) - [i9]Elena Ivanova, Kam W. Leong, Andrew F. Laine:
Automated Multi-Process CTC Detection using Deep Learning. CoRR abs/2109.12709 (2021) - 2020
- [j40]Jie Yang, Xinyang Feng, Andrew F. Laine, Elsa D. Angelini:
Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models. IEEE J. Biomed. Health Informatics 24(4): 1180-1187 (2020) - [c109]Ziyi Huang, Yu Gan, Theresa Lye, Darnel Theagene, Spandana Chintapalli, Simeran Virdi, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural Networks. ISBI 2020: 1-4 - [c108]Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo:
Substituting Gadolinium in Brain MRI Using DeepContrast. ISBI 2020: 908-912 - [c107]Hugo Barbaroux, Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Encoding Human Cortex Using Spherical CNNs - A Study on Alzheimer's Disease Classification. ISBI 2020: 1322-1325 - [c106]Ziyi Huang, Yu Gan, Theresa Lye, Haofeng Zhang, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation. MICCAI (1) 2020: 782-791 - [i8]Nanyan Zhu, Chen Liu, Zakary S. Singer, Tal Danino, Andrew F. Laine, Jia Guo:
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features. CoRR abs/2001.05548 (2020) - [i7]Haoran Sun, Xueqing Liu, Xinyang Feng, Chen Liu, Nanyan Zhu, Sabrina J. Gjerswold-Selleck, Hong-Jian Wei, Pavan S. Upadhyayula, Angeliki Mela, Cheng-Chia Wu, Peter D. Canoll, Andrew F. Laine, J. Thomas Vaughan, Scott A. Small, Jia Guo:
Substituting Gadolinium in Brain MRI Using DeepContrast. CoRR abs/2001.05551 (2020) - [i6]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning. CoRR abs/2007.04978 (2020) - [i5]Sang Won Lee, Yueh-Ting Chiu, Philip Brudnicki, Audrey M. Bischoff, Angus Jelinek, Jenny Zijun Wang, Danielle R. Bogdanowicz, Andrew F. Laine, Jia Guo, Helen H. Lu:
Darwin's Neural Network: AI-based Strategies for Rapid and Scalable Cell and Coronavirus Screening. CoRR abs/2007.11653 (2020)
2010 – 2019
- 2019
- [j39]Elisa Roccia, Arthur Mikhno, R. Todd Ogden, J. John Mann, Andrew F. Laine, Elsa D. Angelini, Francesca Zanderigo:
Quantifying Brain [18F]FDG Uptake Noninvasively by Combining Medical Health Records and Dynamic PET Imaging Data. IEEE J. Biomed. Health Informatics 23(6): 2576-2582 (2019) - [c105]Jie Yang, Thomas Vetterli, Pallavi P. Balte, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study. ISBI 2019: 289-293 - [c104]Yu Gan, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, Christine P. Hendon, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. ISBI 2019: 1212-1215 - [c103]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis In CT Images. ISBI 2019: 1348-1352 - 2018
- [c102]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI. ISBI 2018: 1546-1549 - [i4]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis. CoRR abs/1812.07749 (2018) - [i3]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis in CT Images. CoRR abs/1812.11204 (2018) - 2017
- [c101]Jingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study. ISBI 2017: 375-378 - [c100]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, Jingkuan Song, R. Graham Barr, Andrew F. Laine:
Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. MICCAI (1) 2017: 116-124 - [c99]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. MICCAI (3) 2017: 568-576 - [i2]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. CoRR abs/1707.01086 (2017) - 2016
- [j38]Sailesh Conjeti, Amin Katouzian, Abhijit Guha Roy, Loïc Peter, Debdoot Sheet, Stéphane G. Carlier, Andrew Laine, Nassir Navab:
Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Anal. 32: 1-17 (2016) - [j37]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Pranab Kumar Dutta, Adnan Kastrati, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet:
Lumen Segmentation in Intravascular Optical Coherence Tomography Using Backscattering Tracked and Initialized Random Walks. IEEE J. Biomed. Health Informatics 20(2): 606-614 (2016) - [j36]Metin Akay, Gouenou Coatrieux, Yang Hao, Dimitrios I. Fotiadis, Andrew Laine, Benny P. L. Lo, Konstantina S. Nikita, Norbert Noury, Joel J. P. C. Rodrigues, May D. Wang:
Guest Editorial: MobiHealth 2014, IEEE HealthCom 2014, and IEEE BHI 2014. IEEE J. Biomed. Health Informatics 20(3): 731-732 (2016) - [c98]Jie Yang, Xinyang Feng, Elsa D. Angelini, Andrew F. Laine:
Texton and sparse representation based texture classification of lung parenchyma in CT images. EMBC 2016: 1276-1279 - [c97]William Meiniel, Yu Gan, Christine P. Hendon, Jean-Christophe Olivo-Marin, Andrew F. Laine, Elsa D. Angelini:
Sparsity-based simplification of spectral-domain optical coherence tomography images of cardiac samples. ISBI 2016: 373-376 - [c96]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Khalil Houissa, Andreas König, Pranab K. Dutta, Andrew F. Laine, Nassir Navab, Amin Katouzian, Debdoot Sheet:
Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. ISBI 2016: 1359-1362 - [c95]Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine:
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. MCV/BAMBI@MICCAI 2016: 69-80 - [c94]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, Colin O. Wu, Bharath A. Venkatesh, R. Graham Barr, Andrew F. Laine:
Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study. MICCAI (2) 2016: 624-631 - [i1]Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine:
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. CoRR abs/1612.01820 (2016) - 2015
- [j35]Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, Angel V. Peterchev:
Electric Field Model of Transcranial Electric Stimulation in Nonhuman Primates: Correspondence to Individual Motor Threshold. IEEE Trans. Biomed. Eng. 62(9): 2095-2105 (2015) - [j34]Arthur Mikhno, Francesca Zanderigo, R. Todd Ogden, J. John Mann, Elsa D. Angelini, Andrew F. Laine, Ramin V. Parsey:
Toward Noninvasive Quantification of Brain Radioligand Binding by Combining Electronic Health Records and Dynamic PET Imaging Data. IEEE J. Biomed. Health Informatics 19(4): 1271-1282 (2015) - [c93]Elisa Roccia, Arthur Mikhno, Francesca Zanderigo, Elsa D. Angelini, R. Todd Ogden, J. John Mann, Andrew F. Laine:
Non-invasive quantification of brain [18F]-FDG uptake by combining medical health records and dynamic PET imaging data. EMBC 2015: 2243-2246 - [c92]Yrjö Tapio Hame, Elsa D. Angelini, Megha A. Parikh, Benjamin M. Smith, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine:
Sparse sampling and unsupervised learning of lung texture patterns in pulmonary emphysema: MESA COPD study. ISBI 2015: 109-113 - [c91]Abhijit Guha Roy, Sailesh Conjeti, Stephane G. Carlier, Andreas König, Adnan Kastrati, Pranab Kumar Dutta, Andrew F. Laine, Nassir Navab, Debdoot Sheet, Amin Katouzian:
Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. ISBI 2015: 428-431 - [c90]Yrjo Horne, Elsa D. Angelini, R. Graham Barr, Andrew F. Laine:
Equating emphysema scores and segmentations across CT reconstructions: A comparison study. ISBI 2015: 629-632 - [c89]Yu Gan, Elsa D. Angelini, Andrew F. Laine, Christine P. Hendon:
BM3D-based ultrasound image denoising via brushlet thresholding. ISBI 2015: 667-670 - 2014
- [j33]Debdoot Sheet, Athanasios Karamalis, Abouzar Eslami, Peter B. Noël, Renu Virmani, Masataka Nakano, Jyotirmoy Chatterjee, Ajoy Kumar Ray, Andrew F. Laine, Stephane G. Carlier, Nassir Navab, Amin Katouzian:
Hunting for necrosis in the shadows of intravascular ultrasound. Comput. Medical Imaging Graph. 38(2): 104-112 (2014) - [j32]Debdoot Sheet, Athanasios Karamalis, Abouzar Eslami, Peter B. Noël, Jyotirmoy Chatterjee, Ajoy Kumar Ray, Andrew F. Laine, Stephane G. Carlier, Nassir Navab, Amin Katouzian:
Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound. Medical Image Anal. 18(1): 103-117 (2014) - [j31]Yrjö Tapio Hame, Elsa D. Angelini, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine:
Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model. IEEE Trans. Medical Imaging 33(7): 1527-1540 (2014) - [c88]Viktor Gamarnik, Cesare Russo, Elsa D. Angelini, Andrew Laine:
Toward diagnostic criteria for left ventricular systolic dysfunction from myocardial deformation. BHI 2014: 688-692 - [c87]Arthur Mikhno, Francesca Zanderigo, R. Todd Ogden, Michelle Mikhno, Harry Nagendra, J. John Mann, Andrew F. Laine, Ramin V. Parsey:
Combining brain imaging data with electronic health records to non-invasively quantify [11C]DASB binding. BHI 2014: 732-735 - [c86]Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, Angel V. Peterchev:
Stimulation strength and focality of electroconvulsive therapy and magnetic seizure therapy in a realistic head model. EMBC 2014: 410-413 - [c85]Yujie Qiu, Ajna Borogovac, Andrew Laine, Joy Hirsch, Iris Asllani:
Tissue specific arterial spin labeling fMRI: A superior method for imaging cerebral blood flow in aging and disease. EMBC 2014: 6687-6690 - [c84]David Parker, Georges Rotival, Andrew Laine, Qolamreza R. Razlighi:
Retrospective detection of interleaved slice acquisition parameters from fMRI data. ISBI 2014: 37-40 - [c83]Arthur Mikhno, Elsa D. Angelini, Andrew F. Laine:
Locally weighted total variation denoising for PSF modeling artifact suppression in PET reconstruction. ISBI 2014: 971-974 - 2013
- [j30]Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi, Andrew F. Laine:
A Framework for Mining Signatures from Event Sequences and Its Applications in Healthcare Data. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 272-285 (2013) - [c82]Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, Angel V. Peterchev:
Anatomical variability predicts individual differences in transcranial electric stimulation motor threshold. EMBC 2013: 815-818 - [c81]Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, Angel V. Peterchev:
Electric field characteristics of electroconvulsive therapy with individualized current amplitude: A preclinical study. EMBC 2013: 3082-3085 - [c80]Qolamreza R. Razlighi, Jason Steffener, Christian G. Habeck, Andrew Laine, Yaakov Stern:
Resting state inter and intra hemispheric human brain functional connectivity. EMBC 2013: 6522-6525 - [c79]Yrjö Tapio Hame, Elsa D. Angelini, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine:
Robust quantification of pulmonary emphysema with a Hidden Markov Measure Field model. ISBI 2013: 382-385 - [c78]Arthur Mikhno, Elsa D. Angelini, Bing Bai, Andrew F. Laine:
Locally weighted total variation denoising for ringing artifact suppression in pet reconstruction using PSF modeling. ISBI 2013: 1252-1255 - 2012
- [j29]Won Hee Lee, Zhi-De Deng, Tae-Seong Kim, Andrew F. Laine, Sarah H. Lisanby, Angel V. Peterchev:
Regional electric field induced by electroconvulsive therapy in a realistic finite element head model: Influence of white matter anisotropic conductivity. NeuroImage 59(3): 2110-2123 (2012) - [j28]Amin Katouzian, Athanasios Karamalis, Debdoot Sheet, Elisa E. Konofagou, Babak Baseri, Stephane G. Carlier, Abouzar Eslami, Andreas König, Nassir Navab, Andrew F. Laine:
Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison With Virtual Histology. IEEE Trans. Biomed. Eng. 59(11-1): 3039-3049 (2012) - [j27]Amin Katouzian, Elsa D. Angelini, Stephane G. Carlier, Jasjit S. Suri, Nassir Navab, Andrew F. Laine:
A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images. IEEE Trans. Inf. Technol. Biomed. 16(5): 823-834 (2012) - [c77]Amin Katouzian, Athanasios Karamalis, Andrew Laine, Nassir Navab:
A Systematic Approach Toward Reliable Atherosclerotic Plaque Characterization in IVUS Images. Bildverarbeitung für die Medizin 2012: 21-26 - [c76]Qolamreza R. Razlighi, Aleksey Orekhov, Andrew Laine, Yaakov Stern:
Causal Markov random field for brain MR image segmentation. EMBC 2012: 3203-3206 - [c75]Auranuch Lorsakul, Viktor Gamarnik, Qi Duan, Cesare Russo, Elsa D. Angelini, Shunichi Homma, Andrew F. Laine:
Impact of temporal resolution on LV myocardial regional strain assessment with real-time 3D ultrasound. EMBC 2012: 4075-4078 - [c74]Arthur Mikhno, Francesca Zanderigo, Mika Naganawa, Andrew F. Laine, Ramin V. Parsey:
Brain tissue selection procedures for image derived input functions derived using independent components analysis. EMBC 2012: 5987-5990 - [c73]Won Hee Lee, Sarah H. Lisanby, Andrew F. Laine, Angel V. Peterchev:
Stimulation strength and focality of electroconvulsive therapy with individualized current amplitude: A preclinical study. EMBC 2012: 6430-6433 - [c72]Amin Katouzian, Elsa D. Angelini, Bernhard Sturm, Andrew F. Laine:
Brushlet segmentation for automatic detection of lumen borders in IVUS images: A comparison study. ISBI 2012: 242-245 - [c71]Yrjö Tapio Hame, Viktor Gamarnik, Katherine Parker, Jeffrey W. Holmes, Andrew F. Laine:
Level set-based tracking of the endocardium without a shape prior from 3D ultrasound images. ISBI 2012: 466-469 - [c70]Arthur Mikhno, Pablo Martínez-Nuevo, Davangere P. Devanand, Ramin V. Parsey, Andrew F. Laine:
Multimodal classification of Dementia using functional data, anatomical features and 3D invariant shape descriptors. ISBI 2012: 606-609 - 2011
- [j26]Jean-Christophe Olivo-Marin, Michael Unser, Laure Blanc-Féraud, Andrew Laine, Boudewijn P. F. Lelieveldt:
Trends in Bioimaging and Signal Processing [In the Spotlight]. IEEE Signal Process. Mag. 28(6): 200-191 (2011) - [c69]Auranuch Lorsakul, Qi Duan, Ming Jack Po, Elsa D. Angelini, Shunichi Homma, Andrew F. Laine:
Parameterization of real-time 3D speckle tracking framework for cardiac strain assessment. EMBC 2011: 2654-2657 - [c68]Won Hee Lee, Zhi-De Deng, Andrew F. Laine, Sarah H. Lisanby, Angel V. Peterchev:
Influence of white matter conductivity anisotropy on electric field strength induced by electroconvulsive therapy. EMBC 2011: 5473-5476 - [c67]Ming Jack Po, Auranuch Lorsakul, Andrew F. Laine:
A momentum-based constraint on optical flow tracking of the endocardial surface. EMBC 2011: 7191-7194 - [c66]Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi:
Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. HISB 2011: 250-257 - [c65]Noah Lee, Andrew F. Laine, Arno Klein:
Towards a deep learning approach to brain parcellation. ISBI 2011: 321-324 - [c64]Ming Jack Po, Monvadi Barbara Srichai, Andrew F. Laine:
Quantitative detection of left ventricular dyssynchrony from cardiac computed tomography angiography. ISBI 2011: 1318-1321 - 2010
- [j25]Qi Duan, Elsa D. Angelini, Andrew F. Laine:
Real-time segmentation by Active Geometric Functions. Comput. Methods Programs Biomed. 98(3): 223-230 (2010) - [j24]Ting Song, Vivian S. Lee, Qun Chen, Henry Rusinek, Andrew F. Laine:
An automated three-dimensional plus time registration framework for dynamic MR renography. J. Vis. Commun. Image Represent. 21(1): 1-8 (2010) - [j23]Jian Chen, Jie Tian, Noah Lee, Jian Zheng, R. Theodore Smith, Andrew F. Laine:
A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration. IEEE Trans. Biomed. Eng. 57(7): 1707-1718 (2010)
2000 – 2009
- 2009
- [j22]Qi Duan, Elsa D. Angelini, Andrew F. Laine:
Surface Function Actives. J. Vis. Commun. Image Represent. 20(7): 478-490 (2009) - [j21]Ravi Bansal, Lawrence H. Staib, Andrew F. Laine, Dongrong Xu, Jun Liu, Lainie F. Posecion, Bradley S. Peterson:
Calculation of the confidence intervals for transformation parameters in the registration of medical images. Medical Image Anal. 13(2): 215-233 (2009) - [j20]Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Andrew F. Laine, Jun Liu, Bradley S. Peterson:
Using Perturbation theory to reduce noise in diffusion tensor fields. Medical Image Anal. 13(4): 580-597 (2009) - [c63]Amin Katouzian, Elsa D. Angelini, Auranuch Lorsakul, Bernhard Sturm, Andrew F. Laine:
Lumen Border Detection of Intravascular Ultrasound via Denoising of Directional Wavelet Representations. FIMH 2009: 104-113 - [c62]Qi Duan, Elsa D. Angelini, Auranuch Lorsakul, Shunichi Homma, Jeffrey W. Holmes, Andrew F. Laine:
Coronary Occlusion Detection with 4D Optical Flow Based Strain Estimation on 4D Ultrasound. FIMH 2009: 211-219 - [c61]Jesus J. Caban, Noah Lee, Shahram Ebadollahi, Andrew Laine, John R. Kender:
Concept Detection in Longitudinal Brain MR Images Using Multi-Modal Cues. ISBI 2009: 418-421 - [c60]Qi Duan, Katherine Parker, Auranuch Lorsakul, Elsa D. Angelini, Eiichi Hyodo, Shunichi Homma, Jeffrey W. Holmes, Andrew Laine:
Quantitative Validation of Optical Flow Based Myocardial Strain Measures Using Sonomicrometry. ISBI 2009: 454-457 - [c59]Noah Lee, Jesus Caban, Shahram Ebadollahi, Andrew Laine:
Interactive segmentation in multimodal brain imagery using a Bayesian transductive learning approach. Medical Imaging: Computer-Aided Diagnosis 2009: 72601W - 2008
- [j19]Armen Kherlopian, Ting Song, Qi Duan, Matthew A. Neimark, Ming Jack Po, John K. Gohagan, Andrew F. Laine:
A review of imaging techniques for systems biology. BMC Syst. Biol. 2: 74 (2008) - [j18]Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Andrew F. Laine, Jason Royal, Bradley S. Peterson:
Using Perturbation Theory to Compute the Morphological Similarity of Diffusion Tensors. IEEE Trans. Medical Imaging 27(5): 589-607 (2008) - [c58]R. Theodore Smith, Noah Lee, Jian Chen, Mihai Busuioc, Andrew F. Laine:
Interactive image analysis in age-related macular degeneration (AMD) and Stargardt disease (STGD). ACSCC 2008: 651-654 - [c57]Noah Lee, R. Theodore Smith, Andrew F. Laine:
Interactive segmentation for geographic atrophy in retinal fundus images. ACSCC 2008: 655-658 - [c56]Ting Song, Vivian S. Lee, Henry Rusinek, Qun Chen, Louisa Bokacheva, Andrew Laine:
Segmentation of 4D MR renography images using temporal dynamics in a level set framework. ISBI 2008: 37-40 - [c55]Amin Katouzian, Babak Baseri, Elisa E. Konofagou, Andrew F. Laine:
Texture-driven coronary artery plaque characterization using wavelet packet signatures. ISBI 2008: 197-200 - [c54]Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew F. Laine:
Real-time segmentation of 4D ultrasound by Active Geometric Functions. ISBI 2008: 233-236 - [c53]Noah Lee, Andrew F. Laine, R. Theodore Smith:
Learning non-homogenous textures and the unlearning problem with application to drusen detection in retinal images. ISBI 2008: 1215-1218 - [c52]Noah Lee, Hüseyin Tek, Andrew F. Laine:
True-false lumen segmentation of aortic dissection using multi-scale wavelet analysis and generative-discriminative model matching. Medical Imaging: Computer-Aided Diagnosis 2008: 69152V - [c51]Alan D. Kalvin, Andrew F. Laine, Ting Song:
Faster, higher quality volume visualization for 3D medical imaging. Medical Imaging: Image-Guided Procedures 2008: 691830 - 2007
- [j17]Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine:
Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study. Int. J. Biomed. Imaging 2007: 10526:1-10526:15 (2007) - [c50]Qi Duan, Philippe Moireau, Elsa D. Angelini, Dominique Chapelle, Andrew F. Laine:
Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart. FIMH 2007: 463-473 - [c49]Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew Laine:
Validation of Optical-Flow for Quantification of Myocardial Deformations on Simulated Rt3d Ultrasound. ISBI 2007: 944-947 - [c48]Qi Duan, Guy Shechter, Luis F. Gutiérrez, Douglas Stanton, Lyubomir Zagorchev, Andrew F. Laine, Daniel R. Elgort:
Augmenting CT cardiac roadmaps with segmented streaming ultrasound. Medical Imaging: Image-Guided Procedures 2007: 65090V - 2006
- [c47]Matthew A. Neimark, Angelos-Aristeidis Konstas, Andrew F. Laine, John Pile-Spellman:
Heat Transfer Model of Hyporthermic Intracarotid Infusion of Cold Saline for Stroke Therapy. EMBC 2006: 363-366 - [c46]Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew Laine:
Tracking Endocardium Using Optical Flow along Iso-Value Curve. EMBC 2006: 707-710 - [c45]Xin Liu, Celina Imielinska, Andrew Laine, E. Sander Connolly Jr., Anthony L. D'Ambrosio:
Symmetry Identification Using Partial Surface Matching and Tilt Correction in 3D Brain Images. EMBC 2006: 1056-1060 - [c44]Xin Liu, R. Todd Ogden, Celina Imielinska, Andrew Laine, E. Sander Connolly Jr., Anthony L. D'Ambrosio:
Statistical Bilateral Asymmetry Measurement in Brain Images. EMBC 2006: 1441-1445 - [c43]Kjell Erlandsson, Yinpeng Jin, Andrew T. Wong, Peter D. Esser, Andrew F. Laine, R. Todd Ogden, Maria A. Oquendo, Ronald L. Van Heertum, J. John Mann, Ramin V. Parsey:
Quantitative wavelet domain image processing of dynamic PET data. EMBC 2006: 2787-2790 - [c42]Ting Song, Vivian S. Lee, Henry Rusinek, Samson Wong, Andrew F. Laine:
Four Dimensional MR Image Analysis of Dynamic Renography. EMBC 2006: 3134-3137 - [c41]George Xu, Casey Chiu, Elsa D. Angelini, Andrew F. Laine:
An incremental and optimized learning method for the automatic classification of protein crystal images. EMBC (Supplement) 2006: 6526-6529 - [c40]Qi Duan, Elsa D. Angelini, Olivier Gérard, Shunichi Homma, Andrew Laine:
Comparing optical-flow based methods for quantification of myocardial deformations on RT3D ultrasound. ISBI 2006: 173-176 - [c39]Elsa D. Angelini, Ting Song, Andrew Laine:
Homogeneity measures for multiphase level set segmentation of brain MRI. ISBI 2006: 746-749 - [c38]Ting Song, Vivian S. Lee, Henry Rusinek, Samson Wong, Andrew F. Laine:
Integrated Four Dimensional Registration and Segmentation of Dynamic Renal MR Images. MICCAI (2) 2006: 758-765 - [c37]Bruno Vallet, Elsa D. Angelini, Andrew F. Laine:
Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography. Medical Imaging: Image Processing 2006: 61444A - 2005
- [c36]Qi Duan, Elsa D. Angelini, Susan L. Herz, Olivier Gérard, Pascal Allain, Christopher M. Ingrassia, Kevin D. Costa, Jeffrey W. Holmes, Shunichi Homma, Andrew Laine:
Tracking of LV Endocardial Surface on Real-Time Three-Dimensional Ultrasound with Optical Flow. FIMH 2005: 434-445 - [c35]Ting Song, Vivian S. Lee, Henry Rusinek, Manmeen Kaur, Andrew F. Laine:
Automatic 4-D Registration in Dynamic MR Renography Based on Over-Complete Dyadic Wavelet and Fourier Transforms. MICCAI (2) 2005: 205-213 - [c34]Gert Schoonenberg, Marc Schrijver, Qi Duan, Richard Kemkers, Andrew Laine:
Adaptive spatial-temporal filtering applied to x-ray fluoroscopy angiography. Medical Imaging: Image-Guided Procedures 2005 - [c33]Ya Wang, David H. Kim, Elsa D. Angelini, Andrew F. Laine:
Recognition of micro-array protein crystals images using multi-scale representations. Medical Imaging: Image Processing 2005 - [c32]Atanas Gueorguiev, Peter K. Allen, Ting Song, Andrew Laine, William Edstrom, John E. Hunt:
Microrobotic Streak Seeding For Protein Crystal Growth. Robotics: Science and Systems 2005: 137-144 - 2004
- [c31]Andrew Laine, Elsa D. Angelini, Yinpeng Jin, Peter D. Esser, Ronald L. Van Heertum:
Fusion of Brushlet and Wavelet Denoising Methods for Nuclear Images. ISBI 2004: 1188-1191 - [c30]Andrew Laine, Elsa D. Angelini, Ryo Otsuka, Shunichi Homma:
Comparison of Ventricular Geometry for Two Real Time 3D Ultrasound Machines With Three Dimensional Level Set. ISBI 2004: 1323-1326 - [c29]Albert Max Lai, Jason Nieh, Andrew F. Laine, Justin Starren:
Remote Display Performance for Wireless Healthcare Computing. MedInfo 2004: 1438-1442 - [c28]Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew Laine:
Multi-phase Three-Dimensional Level Set Segmentation of Brain MRI. MICCAI (1) 2004: 318-326 - [c27]Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew Laine:
Segmentation and quantitative evaluation of brain MRI data with a multiphase 3D implicit deformable model. Medical Imaging: Image Processing 2004 - 2003
- [j16]Michael Unser, Akram Aldroubi, Andrew Laine:
Wavelets in Medical Imaging. IEEE Trans. Medical Imaging 22(3): 285-288 (2003) - [j15]Jérôme Kalifa, Andrew Laine, Peter D. Esser:
Regularization in Tomographic Reconstruction Using Thresholding Estimators. IEEE Trans. Medical Imaging 22(3): 351-359 (2003) - [j14]Ralf Mekle, Andrew Laine, Ed X. Wu:
Combined MR Data Acquisition of Multi-Contrast Images Using Variable Acquisition Parameters and K-Space Data Sharing. IEEE Trans. Medical Imaging 22(7): 806-823 (2003) - [c26]Albert M. Lai, Jason Nieh, Andrew Laine, Justin Starren:
Thin Client Performance for Remote 3-D Image Display. AMIA 2003 - [c25]Yinpeng Jin, Elsa D. Angelini, Peter D. Esser, Andrew Laine:
De-noising SPECT/PET Images Using Cross-Scale Regularization. MICCAI (2) 2003: 32-40 - [c24]Yinpeng Jin, Celina Imielinska, Andrew Laine, Jayaram K. Udupa, Wei Shen, Steven B. Heymsfield:
Segmentation and Evaluation of Adipose Tissue from Whole Body MRI Scans. MICCAI (1) 2003: 635-642 - 2002
- [c23]Elsa D. Angelini, Jérôme Kalifa, Andrew F. Laine:
Harmonic multiresolution estimators for denoising and regularization of SPECT-PET data. ISBI 2002: 697-700 - [c22]Elsa D. Angelini, Celina Imielinska, Yinpeng Jin, Andrew F. Laine:
Improving statistics for hybrid segmentation of high-resolution multichannel images. Medical Imaging: Image Processing 2002 - [c21]Yinpeng Jin, Andrew F. Laine, Celina Imielinska:
Adaptive speed term based on homogeneity for level-set segmentation. Medical Imaging: Image Processing 2002 - 2001
- [j13]Jou-Wei Lin, Andrew F. Laine, Steven R. Bergmann:
Improving PET-based physiological quantification through methods of wavelet denoising. IEEE Trans. Biomed. Eng. 48(2): 202-212 (2001) - [j12]Elsa D. Angelini, Andrew Laine, Shin Takuma, Jeffrey W. Holmes, Shunichi Homma:
LV Volume Quantification via Spatio-Temporal Analysis of Real-Time 3D Echocardiography. IEEE Trans. Medical Imaging 20(6): 457-469 (2001)
1990 – 1999
- 1999
- [j11]Dimitrios Ioannou, Walter Huda, Andrew Laine:
Circle recognition through a 2D Hough Transform and radius histogramming. Image Vis. Comput. 17(1): 15-26 (1999) - [j10]Chun-Ming Chang, Andrew Laine:
Coherence of multiscale features for enhancement of digital mammograms. IEEE Trans. Inf. Technol. Biomed. 3(1): 32-46 (1999) - [c20]Elsa D. Angelini, Andrew Laine, Shin Takuma, Shunichi Homma:
Directional Representations of 4D Echocardiography for Temporal Quantification of LV Volume. MICCAI 1999: 430-440 - 1998
- [j9]Xuli Zong, Andrew Laine, Edward A. Geiser:
Speckle Reduction and Contrast Enhancement of Echocardiograms via Multiscale Nonlinear Processing. IEEE Trans. Medical Imaging 17(4): 532-540 (1998) - [c19]Dongwei Chen, Chun-Ming Chang, Andrew Laine:
Detection and Enhancement of Small Masses via Precision Multiscale Analysis. ACCV (1) 1998: 192-199 - [c18]Minbo Shim, Andrew Laine:
Overcomplete Lifted Wavelet Representations for Multiscale Feature Analysis. ICIP (2) 1998: 242-246 - [c17]Iztok Koren, Andrew Laine, Fred J. Taylor:
Enhancement via Fusion of Mammographic Features. ICIP (1) 1998: 722-726 - 1997
- [c16]Xuli Zong, Anke Meyer-Bäse, Andrew Laine:
Multiscale Segmentation Through a Radial Basis Neural Network. ICIP (3) 1997: 400-403 - [c15]Chun-Ming Chang, Andrew Laine:
Enhancement of mammograms from oriented information. ICIP (3) 1997: 524-527 - 1996
- [j8]Dimitrios Ioannou, Edward T. Dugan, Andrew Laine:
On the uniqueness of the representation of a convex polygon by its Hough transform. Pattern Recognit. Lett. 17(12): 1259-1264 (1996) - [j7]Andrew Laine, Jian Fan:
Frame representations for texture segmentation. IEEE Trans. Image Process. 5(5): 771-780 (1996) - [c14]Iztok Koren, Andrew F. Laine, Fred J. Taylor, Michael Lewis:
Interactive wavelet processing and techniques applied to digital mammography. ICASSP 1996: 1415-1418 - [c13]Andrew F. Laine, Xuli Zong:
Border identification of echocardiograms via multiscale edge detection and shape modeling. ICIP (3) 1996: 287-290 - [c12]Xuli Zong, Edward A. Geiser, Andrew F. Laine, David Clifford Wilson:
Homomorphic wavelet shrinkage and feature emphasis for speckle reduction and enhancement of echocardiographic images. Medical Imaging: Image Processing 1996 - 1995
- [j6]Patrick Wunsch, Andrew F. Laine:
Wavelet descriptors for multiresolution recognition of handprinted characters. Pattern Recognit. 28(8): 1237-1249 (1995) - [c11]Iztok Koren, Andrew Laine, Fred J. Taylor:
Image fusion using steerable dyadic wavelet transform. ICIP (3) 1995: 232-235 - [c10]Andrew Laine, Chun-Ming Chang:
De-Noising via Wavelet Transforms Using Steerable Filters. ISCAS 1995: 1956-1959 - 1994
- [j5]Andrew F. Laine, Sergio Schuler, Jian Fan, Walter Huda:
Mammographic feature enhancement by multiscale analysis. IEEE Trans. Medical Imaging 13(4): 725-740 (1994) - [c9]Andrew F. Laine, Sergio Schuler:
Hexagonal wavelet representations for recognizing complex annotations. CVPR 1994: 740-745 - [c8]Andrew F. Laine, Michael Lewis, Fred J. Taylor:
A wavelet based mammographic system. ICASSP (5) 1994: 21-24 - [c7]Iztok Koren, Andrew Laine, Jian Fan, Fred J. Taylor:
Edge Detection in Echocardiographic Image Sequences by 3-D Multiscale Analysis. ICIP (1) 1994: 288-292 - 1993
- [j4]Andrew F. Laine:
Introduction. J. Math. Imaging Vis. 3(1): 5-6 (1993) - [j3]Andrew Laine, Sergio Schuler, V. Girish:
Orthonormal wavelet representations for recognizing complex annotations. Mach. Vis. Appl. 6(2-3): 110-123 (1993) - [j2]Andrew Laine, Jian Fan:
Texture Classification by Wavelet Packet Signatures. IEEE Trans. Pattern Anal. Mach. Intell. 15(11): 1186-1191 (1993) - 1992
- [c6]Andrew Laine, Jian Fan:
Texture Classification by Wavelet Packet Signatures. MVA 1992: 281-286 - [c5]Andrew F. Laine, Shuwu Song:
Wavelet processing techniques for digital mammography. VBC 1992 - 1991
- [j1]Andrew F. Laine, Gruia-Catalin Roman:
A parallel algorithm for incremental stereo matching on SIMD machines. IEEE Trans. Robotics Autom. 7(1): 123-134 (1991) - [c4]Andrew Laine, William E. Ball, Arun Kumar:
A multiscale approach for recognizing complex annotations in engineering documents. CVPR 1991: 749-750 - 1990
- [c3]Andrew F. Laine, Gruia-Catalin Roman:
A parallel algorithm for incremental stereo matching on SIMD machines. ICPR (2) 1990: 484-490
1980 – 1989
- 1988
- [c2]Gruia-Catalin Roman, Andrew F. Laine, Kenneth C. Cox:
Interactive complexity control and high-speed stereo matching. CVPR 1988: 171-176 - [c1]Kenneth C. Cox, Gruia-Catalin Roman, William E. Ball, Andrew F. Laine:
Rapid search for spherical objects in aerial photographs. CVPR 1988: 905-910
Coauthor Index
[c122] [c120] [c119] [i18] [i17] [j44] [c117] [i13] [j41] [c113] [c112] [c111] [c110] [i12] [i10] [j40] [c109] [c107] [c106] [i6] [j39] [c105] [c104] [c102] [i4] [c101] [c100] [c99] [i2] [c98] [c97] [c95] [c94] [i1] [j34] [c93] [c92] [c90] [c89] [j31] [c88] [c83] [c79] [c78] [j27] [c75] [c72] [c69] [j25] [j22] [c63] [c62] [c60] [c54] [j17] [c50] [c49] [c46] [c41] [c40] [c39] [c37] [c36] [c33] [c31] [c30] [c28] [c27] [c25] [c23] [c22] [j12] [c20]
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