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Title
Deep Learning in Biomedical Optics
Authors
Keywords
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Journal
LASERS IN SURGERY AND MEDICINE
Volume 53, Issue 6, Pages 748-775
Publisher
Wiley
Online
2021-05-21
DOI
10.1002/lsm.23414
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Note: Only part of the references are listed.- Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy
- (2021) Shiyi Cheng et al. Science Advances
- Label‐Free Leukemia Monitoring by Computer Vision
- (2020) Minh Doan et al. CYTOMETRY PART A
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- (2020) Zhao Dong et al. Journal of Biophotonics
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- (2020) Bin Qiu et al. Biomedical Optics Express
- Deep learning applied to hyperspectral endoscopy for online spectral classification
- (2020) Alexandru Grigoroiu et al. Scientific Reports
- Feature article: A generative adversarial network for artifact removal in photoacoustic computed tomography with a linear-array transducer
- (2020) Tri Vu et al. EXPERIMENTAL BIOLOGY AND MEDICINE
- Fluorescence lifetime imaging microscopy: fundamentals and advances in instrumentation, analysis, and applications
- (2020) Rupsa Datta et al. JOURNAL OF BIOMEDICAL OPTICS
- Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration
- (2020) Sehyung Lee et al. NEURAL NETWORKS
- Holographic virtual staining of individual biological cells
- (2020) Yoav N. Nygate et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Deep learning enables structured illumination microscopy with low light levels and enhanced speed
- (2020) Luhong Jin et al. Nature Communications
- UNMIX-ME: spectral and lifetime fluorescence unmixing viadeep learning
- (2020) Jason Smith et al. Biomedical Optics Express
- Deep learning improves contrast in low-fluence photoacoustic imaging
- (2020) Ali Hariri et al. Biomedical Optics Express
- Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches
- (2020) Agnieszka Barbara Szczotka et al. International Journal of Computer Assisted Radiology and Surgery
- Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
- (2020) Miriam Hägele et al. Scientific Reports
- Limited-View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning
- (2020) Steven Guan et al. Scientific Reports
- Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
- (2020) Yijie Zhang et al. Light-Science & Applications
- Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network
- (2020) Emrah Bostan et al. Optica
- Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data
- (2020) Tong Tong et al. Photoacoustics
- Label-free colorectal cancer screening using deep learning and spatial light interference microscopy (SLIM)
- (2020) Jingfang K. Zhang et al. APL Photonics
- Advances in tissue-based imaging: impact on oncology research and clinical practice
- (2020) Arman Rahman et al. EXPERT REVIEW OF MOLECULAR DIAGNOSTICS
- Photoacoustic imaging for surgical guidance: Principles, applications, and outlook
- (2020) Muyinatu A. Lediju Bell JOURNAL OF APPLIED PHYSICS
- Deep Learning Protocol for Improved Photoacoustic Brain Imaging
- (2020) Rayyan Manwar et al. Journal of Biophotonics
- DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning
- (2020) Elias Nehme et al. NATURE METHODS
- Snapshot multispectral endomicroscopy
- (2020) Ziyi Meng et al. OPTICS LETTERS
- Macroscopic fluorescence lifetime topography enhanced via spatial frequency domain imaging
- (2020) Jason T. Smith et al. OPTICS LETTERS
- Reproductive outcomes predicted by phase imaging with computational specificity of spermatozoon ultrastructure
- (2020) Mikhail E. Kandel et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- High Compression Deep Learning based Single-Pixel Hyperspectral Macroscopic Fluorescence Lifetime Imaging In Vivo
- (2020) Marien Ochoa Mendoza et al. Biomedical Optics Express
- 3-D collagen fiber mapping and tractography ofhuman uterine tissue using OCT
- (2020) James McLean et al. Biomedical Optics Express
- A Neural Network Approach to Quantify Blood Flow from Retinal OCT Intensity Time-Series Measurements
- (2020) Boy Braaf et al. Scientific Reports
- Revealing architectural order with quantitative label-free imaging and deep learning
- (2020) Syuan-Ming Guo et al. eLife
- Classification of T-cell activation via autofluorescence lifetime imaging
- (2020) Alex J. Walsh et al. Nature Biomedical Engineering
- Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis
- (2020) Aman Rana et al. JAMA Network Open
- Detection of features associated with neovascular age-related macular degeneration in ethnically distinct data sets by an optical coherence tomography: trained deep learning algorithm
- (2020) Tyler Hyungtaek Rim et al. BRITISH JOURNAL OF OPHTHALMOLOGY
- SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors
- (2020) Zihui Wu et al. IEEE Journal of Selected Topics in Signal Processing
- Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)
- (2020) Kivanc Kose et al. MEDICAL IMAGE ANALYSIS
- Real-time, wide-field and high-quality single snapshot imaging of optical properties with profile correction using deep learning
- (2020) Enagnon Aguénounon et al. Biomedical Optics Express
- Deep learning-based fetoscopic mosaicking for field-of-view expansion
- (2020) Sophia Bano et al. International Journal of Computer Assisted Radiology and Surgery
- Machine Learning Methods for Fluorescence Lifetime Imaging (FLIM) Based Label-Free Detection of Microglia
- (2020) Md Abdul Kader Sagar et al. Frontiers in Neuroscience
- A Deep Learning Approach to Photoacoustic Wavefront Localization in Deep-Tissue Medium
- (2020) Kerrick Johnstonbaugh et al. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
- Deep Neural Network-Based Sinogram Super-Resolution and Bandwidth Enhancement for Limited-Data Photoacoustic Tomography
- (2020) Navchetan Awasthi et al. IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
- Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning
- (2020) Mason T. Chen et al. JOURNAL OF BIOMEDICAL OPTICS
- Deep learning extended depth-of-field microscope for fast and slide-free histology
- (2020) Lingbo Jin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Phase imaging with computational specificity (PICS) for measuring dry mass changes in sub-cellular compartments
- (2020) Mikhail E. Kandel et al. Nature Communications
- Deep learning toolbox for automated enhancement, segmentation, and graphing of cortical optical coherence tomography microangiograms
- (2020) Sabina Stefan et al. Biomedical Optics Express
- Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
- (2020) Longlong Jing et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals
- (2019) Zied Tayeb et al. SENSORS
- Deep Learning Neural Networks Highly Predict Very Early Onset of Pluripotent Stem Cell Differentiation
- (2019) Ariel Waisman et al. Stem Cell Reports
- Net-FLICS: fast quantitative wide-field fluorescence lifetime imaging with compressed sensing – a deep learning approach
- (2019) Ruoyang Yao et al. Light-Science & Applications
- PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning
- (2019) Yair Rivenson et al. Light-Science & Applications
- Parallel deep neural networks for endoscopic OCT image segmentation
- (2019) Dawei Li et al. Biomedical Optics Express
- Digital staining through the application of deep neural networks to multi-modal multi-photon microscopy
- (2019) Navid Borhani et al. Biomedical Optics Express
- Multicolor localization microscopy and point-spread-function engineering by deep learning
- (2019) Eran Hershko et al. OPTICS EXPRESS
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- (2019) Pablo Gómez et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
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- (2019) Bahareh Behboodi et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
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- (2019) Donghuan Lu et al. MEDICAL IMAGE ANALYSIS
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- (2019) Daniele Ravì et al. MEDICAL IMAGE ANALYSIS
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- (2019) Dufan Wu et al. MEDICAL PHYSICS
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- (2019) Jianbo Shao et al. OPTICS EXPRESS
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- (2019) Lin Guo et al. OPTICS LETTERS
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- (2019) Nils Gessert et al. International Journal of Computer Assisted Radiology and Surgery
- Reliable deep-learning-based phase imaging with uncertainty quantification
- (2019) Yujia Xue et al. Optica
- A deep learning based pipeline for optical coherence tomography angiography
- (2019) Xi Liu et al. Journal of Biophotonics
- Generating retinal flow maps from structural optical coherence tomography with artificial intelligence
- (2019) Cecilia S. Lee et al. Scientific Reports
- Deep learning for single-shot autofocus microscopy
- (2019) Henry Pinkard et al. Optica
- Prediction of epileptic seizures with convolutional neural networks and functional near-infrared spectroscopy signals
- (2019) Roberto Rosas-Romero et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification
- (2019) Leyuan Fang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Towards automated in vivo bladder tumor stratifcation using Confocal Laser Endomicroscopy
- (2019) Marit Lucas et al. JOURNAL OF ENDOUROLOGY
- Fully automated identification of skin morphology in raster‐scan optoacoustic mesoscopy using artificial intelligence
- (2019) Serafeim Moustakidis et al. MEDICAL PHYSICS
- Automatic segmentation of intravital fluorescence microscopy images by K-means clustering of FLIM phasors
- (2019) Yide Zhang et al. OPTICS LETTERS
- Hyperspectral Imaging of Head and Neck Squamous Cell Carcinoma for Cancer Margin Detection in Surgical Specimens from 102 Patients Using Deep Learning
- (2019) Martin Halicek et al. Cancers
- Physics-Based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging
- (2019) Michael R. Kellman et al. IEEE Transactions on Computational Imaging
- Key challenges for delivering clinical impact with artificial intelligence
- (2019) Christopher J. Kelly et al. BMC Medicine
- Classification of Human White Blood Cells Using Machine Learning for Stain‐Free Imaging Flow Cytometry
- (2019) Maxim Lippeveld et al. CYTOMETRY PART A
- Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
- (2019) Yichen Wu et al. NATURE METHODS
- Fast fit-free analysis of fluorescence lifetime imaging via deep learning
- (2019) Jason T. Smith et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- A machine learning approach to predict surgical learning curves
- (2019) Yuanyuan Gao et al. SURGERY
- Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
- (2019) Zaixing Mao et al. Biomedical Optics Express
- Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network
- (2019) Tatsuya Matsumoto et al. Scientific Reports
- Deep spectral learning for label-free optical imaging oximetry with uncertainty quantification
- (2019) Rongrong Liu et al. Light-Science & Applications
- Application of Artificial Intelligence to Gastroenterology and Hepatology
- (2019) Catherine Le Berre et al. GASTROENTEROLOGY
- A Partially-Learned Algorithm for Joint Photo-acoustic Reconstruction and Segmentation
- (2019) Yoeri E. Boink et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Utilizing Machine Learning for Image Quality Assessment for Reflectance Confocal Microscopy
- (2019) Kivanc Kose et al. JOURNAL OF INVESTIGATIVE DERMATOLOGY
- Single-Photon, Time-Gated, Phasor-Based Fluorescence Lifetime Imaging through Highly Scattering Medium
- (2019) Rinat Ankri et al. ACS Photonics
- Deep Learning Diffuse Optical Tomography
- (2019) Jaejun Yoo et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- GANPOP: Generative Adversarial Network Prediction of Optical Properties From Single Snapshot Wide-Field Images
- (2019) Mason T. Chen et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Assessing microscope image focus quality with deep learning
- (2018) Samuel J. Yang et al. BMC BIOINFORMATICS
- In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
- (2018) Eric M. Christiansen et al. CELL
- Unsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training
- (2018) Faisal Mahmood et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Learned Primal-Dual Reconstruction
- (2018) Jonas Adler et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography
- (2018) Andreas Hauptmann et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Photoacoustic Source Detection and Reflection Artifact Removal Enabled by Deep Learning
- (2018) Derek Allman et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Advances in optical coherence tomography in dermatology—a review
- (2018) Jonas Olsen et al. JOURNAL OF BIOMEDICAL OPTICS
- Quantitative imaging of receptor-ligand engagement in intact live animals
- (2018) Alena Rudkouskaya et al. JOURNAL OF CONTROLLED RELEASE
- Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks
- (2018) Jianyu Lin et al. MEDICAL IMAGE ANALYSIS
- Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy
- (2018) Faisal Mahmood et al. MEDICAL IMAGE ANALYSIS
- Deep learning massively accelerates super-resolution localization microscopy
- (2018) Wei Ouyang et al. NATURE BIOTECHNOLOGY
- End-to-end deep neural network for optical inversion in quantitative photoacoustic imaging
- (2018) Chuangjian Cai et al. OPTICS LETTERS
- Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
- (2018) Jong Chul Ye et al. SIAM Journal on Imaging Sciences
- Structural absorption by barbule microstructures of super black bird of paradise feathers
- (2018) Dakota E. McCoy et al. Nature Communications
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- (2018) Jessica Loo et al. Biomedical Optics Express
- DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images
- (2018) Sripad Krishna Devalla et al. Biomedical Optics Express
- Transform- and multi-domain deep learning for single-frame rapid autofocusing in whole slide imaging
- (2018) Shaowei Jiang et al. Biomedical Optics Express
- Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic data
- (2018) Yachun Li et al. International Journal of Computer Assisted Radiology and Surgery
- Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells
- (2018) Dai Kusumoto et al. Stem Cell Reports
- Deep-STORM: super-resolution single-molecule microscopy by deep learning
- (2018) Elias Nehme et al. Optica
- A Survey of Methods for Explaining Black Box Models
- (2018) Riccardo Guidotti et al. ACM COMPUTING SURVEYS
- Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition
- (2018) Yun Gu et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep learning for photoacoustic tomography from sparse data
- (2018) Stephan Antholzer et al. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING
- Review of structured light in diffuse optical imaging
- (2018) Joseph P. Angelo et al. JOURNAL OF BIOMEDICAL OPTICS
- Image reconstruction by domain-transform manifold learning
- (2018) Bo Zhu et al. NATURE
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- (2018) Jeffrey De Fauw et al. NATURE MEDICINE
- Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy
- (2018) Chawin Ounkomol et al. NATURE METHODS
- Fit-free analysis of fluorescence lifetime imaging data using the phasor approach
- (2018) Suman Ranjit et al. Nature Protocols
- Deep learning approach for Fourier ptychography microscopy
- (2018) Thanh Nguyen et al. OPTICS EXPRESS
- Multiple surface segmentation using convolution neural nets: application to retinal layer segmentation in OCT images
- (2018) Abhay Shah et al. Biomedical Optics Express
- Direct approach to compute Jacobians for diffuse optical tomography using perturbation Monte Carlo-based photon “replay”
- (2018) Ruoyang Yao et al. Biomedical Optics Express
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- (2018) Marc Aubreville et al. International Journal of Computer Assisted Radiology and Surgery
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- (2018) Jian Zhao et al. ACS Photonics
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- (2018) Pu Wang et al. Nature Biomedical Engineering
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- (2018) Wendy A. Wells et al. ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE
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- (2018) Sez‐Jade Chen et al. Journal of Biophotonics
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- (2018) Martin Weigert et al. NATURE METHODS
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- (2018) Thorsten Falk et al. NATURE METHODS
- Deep learning enables cross-modality super-resolution in fluorescence microscopy
- (2018) Hongda Wang et al. NATURE METHODS
- Principles and prospects for single-pixel imaging
- (2018) Matthew P. Edgar et al. Nature Photonics
- Autonomous illumination control for localization microscopy
- (2018) Marcel Štefko et al. OPTICS EXPRESS
- Deep learning model for ultrafast multifrequency optical property extractions for spatial frequency domain imaging
- (2018) Yanyu Zhao et al. OPTICS LETTERS
- Multimode optical fiber transmission with a deep learning network
- (2018) Babak Rahmani et al. Light-Science & Applications
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- (2018) Yuan Gao et al. Optica
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- (2018) Ryo Asaoka et al. AMERICAN JOURNAL OF OPHTHALMOLOGY
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- (2017) Michael F Byrne et al. GUT
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- (2017) Dhanesh Ramachandram et al. IEEE SIGNAL PROCESSING MAGAZINE
- Review of optical coherence tomography in oncology
- (2017) Jianfeng Wang et al. JOURNAL OF BIOMEDICAL OPTICS
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- (2017) Sreedevi Gutta et al. JOURNAL OF BIOMEDICAL OPTICS
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- (2017) Tsung-Han Tsai et al. JOURNAL OF BIOMEDICAL OPTICS
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- (2017) Bidyut Das et al. Journal of Biophotonics
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- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
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- (2017) Felix Buggenthin et al. NATURE METHODS
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- (2017) Qi Pian et al. Nature Photonics
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- (2017) Jeremy Kawahara et al. NEUROIMAGE
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- (2017) Sandra Vieira et al. NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
- LLNet: A deep autoencoder approach to natural low-light image enhancement
- (2017) Kin Gwn Lore et al. PATTERN RECOGNITION
- Reconstructing cell cycle and disease progression using deep learning
- (2017) Philipp Eulenberg et al. Nature Communications
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- (2017) Freerk G. Venhuizen et al. Biomedical Optics Express
- Deep learning microscopy
- (2017) Yair Rivenson et al. Optica
- Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain–computer interface: three-class classification of rest, right-, and left-hand motor execution
- (2017) Thanawin Trakoolwilaiwan et al. Neurophotonics
- Light in diagnosis, therapy and surgery
- (2017) Seok Hyun Yun et al. Nature Biomedical Engineering
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- (2017) Katarina Dedovic et al. CANADIAN JOURNAL OF PSYCHIATRY-REVUE CANADIENNE DE PSYCHIATRIE
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- (2017) Marc Aubreville et al. Scientific Reports
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- (2016) Milind Rajadhyaksha et al. LASERS IN SURGERY AND MEDICINE
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- (2016) Heung-Il Suk et al. NEUROIMAGE
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- (2016) Gang Wu et al. OPTICS LETTERS
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- (2015) Lei Xi et al. APPLIED PHYSICS LETTERS
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- (2015) W. L. Rice et al. CANCER RESEARCH
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- (2015) Yann LeCun et al. NATURE
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- (2015) Qi Pian et al. OPTICS LETTERS
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- (2015) M. I. Jordan et al. SCIENCE
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- (2014) Kristen L. Lurie et al. JOURNAL OF BIOMEDICAL OPTICS
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- (2014) Adam T. Eggebrecht et al. Nature Photonics
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- (2013) Mehreen Adhi et al. CURRENT OPINION IN OPHTHALMOLOGY
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- (2013) Chinmay Darne et al. PHYSICS IN MEDICINE AND BIOLOGY
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- (2012) Laura Marcu ANNALS OF BIOMEDICAL ENGINEERING
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- (2012) Irene Georgakoudi et al. Annual Review of Biomedical Engineering
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- (2012) Sohila Zadran et al. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
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- (2010) Juan Zhou et al. BRAIN
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- (2010) Axel Petzold et al. LANCET NEUROLOGY
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- (2009) F. Prati et al. EUROPEAN HEART JOURNAL
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- (2009) Michael B. Wallace et al. GASTROENTEROLOGY
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- (2009) R.B. Schulz et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
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- (2009) Xiaofeng Zhang et al. JOURNAL OF BIOMEDICAL OPTICS
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- (2009) David J. Cuccia et al. JOURNAL OF BIOMEDICAL OPTICS
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- (2009) John Gamelin et al. OPTICS EXPRESS
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