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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]