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1103
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Neural biology.
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Wikipedia; Matrix factorization; fMRI;
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1307
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1203
Connectivity analysis
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1311
bioelectric potentials
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acoustic neuromodulation
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Connectomics
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1502
biomedical optical imaging
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Weng, D.,
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DERF: Distinctive Efficient Robust Features From the Biological
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1505
Computational modeling
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Neural images
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Basu, S.[Sreetama],
Ooi, W.T.,
Racoceanu, D.[Daniel],
Neurite Tracing With Object Process,
MedImg(35), No. 6, June 2016, pp. 1443-1451.
IEEE DOI
1606
BibRef
Earlier: A1, A3, Only:
Reconstructing neuronal morphology from microscopy stacks using fast
marching,
ICIP14(3597-3601)
IEEE DOI
1502
Image reconstruction
BibRef
Li, Z.Y.[Zhong-Yu],
Fang, R.[Ruogu],
Shen, F.M.[Fu-Min],
Katouzian, A.[Amin],
Zhang, S.T.[Shao-Ting],
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product search,
PR(63), No. 1, 2017, pp. 680-688.
Elsevier DOI
1612
Neuron morphology
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He, X.X.[Xiao-Xu],
Lum, A.[Andrea],
Sharma, M.[Manas],
Brahm, G.[Gary],
Mercado, A.[Ashley],
Li, S.[Shuo],
Automated segmentation and area estimation of neural foramina with
boundary regression model,
PR(63), No. 1, 2017, pp. 625-641.
Elsevier DOI
1612
Automated segmentation
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Gu, L.[Lin],
Zhang, X.W.[Xiao-Wei],
Zhao, H.[He],
Li, H.Q.[Hui-Qi],
Cheng, L.[Li],
Segment 2D and 3D Filaments by Learning Structured and Contextual
Features,
MedImg(36), No. 2, February 2017, pp. 596-606.
IEEE DOI
1702
Retinal vessels, and neurons.
BibRef
Li, R.J.[Rong-Jian],
Zeng, T.[Tao],
Peng, H.C.[Han-Chuan],
Ji, S.W.[Shui-Wang],
Deep Learning Segmentation of Optical Microscopy Images Improves 3-D
Neuron Reconstruction,
MedImg(36), No. 7, July 2017, pp. 1533-1541.
IEEE DOI
1707
Convolution, Image reconstruction, Image segmentation, Microscopy,
Morphology, Neurons, BigNeuron,
Deep learning, image denoising, image segmentation, neuron, reconstruction
BibRef
Liu, M.[Min],
Gong, R.[Rong],
Chen, W.[Weixun],
Peng, H.C.[Han-Chuan],
3D neuron tip detection in volumetric microscopy images using an
adaptive ray-shooting model,
PR(75), No. 1, 2018, pp. 263-271.
Elsevier DOI
1712
Neuron tips
BibRef
Krasowski, N.E.,
Beier, T.,
Knott, G.W.,
Köthe, U.,
Hamprecht, F.A.,
Kreshuk, A.,
Neuron Segmentation With High-Level Biological Priors,
MedImg(37), No. 4, April 2018, pp. 829-839.
IEEE DOI
1804
Biomembranes, Image edge detection, Image segmentation, Labeling,
Neurons, Semantics, Segmentation, automated tracing, connectomics,
probabilistic graphical model
BibRef
Hilt, P.[Paul],
Zarvandi, M.[Maedeh],
Kaziakhmedov, E.[Edgar],
Bhide, S.[Sourabh],
Laptin, M.[Maria],
Pape, C.[Constantin],
Kreshuk, A.[Anna],
Reinforcement learning for instance segmentation with high-level
priors,
BioIm23(3915-3924)
IEEE DOI
2401
BibRef
Liu, S.,
Zhang, D.,
Song, Y.,
Peng, H.,
Cai, W.,
Automated 3-D Neuron Tracing With Precise Branch Erasing and
Confidence Controlled Back Tracking,
MedImg(37), No. 11, November 2018, pp. 2441-2452.
IEEE DOI
1811
Neurons, Image reconstruction,
Microscopy, Image segmentation, Transforms,
neuron morphology
BibRef
Skibbe, H.,
Reisert, M.,
Nakae, K.,
Watakabe, A.,
Hata, J.,
Mizukami, H.,
Okano, H.,
Yamamori, T.,
Ishii, S.,
PAT: Probabilistic Axon Tracking for Densely Labeled Neurons in Large
3-D Micrographs,
MedImg(38), No. 1, January 2019, pp. 69-78.
IEEE DOI
1901
Axons, Image reconstruction,
Spatial resolution, Microscopy, Monte Carlo methods,
image segmentation
BibRef
Funke, J.[Jan],
Tschopp, F.[Fabian],
Grisaitis, W.[William],
Sheridan, A.[Arlo],
Singh, C.[Chandan],
Saalfeld, S.[Stephan],
Turaga, S.C.[Srinivas C.],
Large Scale Image Segmentation with Structured Loss Based Deep
Learning for Connectome Reconstruction,
PAMI(41), No. 7, July 2019, pp. 1669-1680.
IEEE DOI
1906
neuron segmentation from electron microscopy (EM).
Training, Image segmentation,
Image reconstruction, Neurons, Microscopy, Prediction algorithms,
agglomeration
BibRef
Górriz, J.M.[Juan M.],
Ramirez, J.[Javier],
Suckling, J.[John],
On the computation of distribution-free performance bounds:
Application to small sample sizes in neuroimaging,
PR(93), 2019, pp. 1-13.
Elsevier DOI
1906
Resubsitution error estimate, Lineal classifiers, Upper bounds,
Neuroimaging, VC dimension
BibRef
Tang, R.,
Ketcha, M.,
Badea, A.,
Calabrese, E.D.,
Margulies, D.S.,
Vogelstein, J.T.,
Priebe, C.E.,
Sussman, D.L.,
Connectome smoothing via low-rank approximations,
MedImg(38), No. 6, June 2019, pp. 1446-1456.
IEEE DOI
1906
Sociology, Matrix decomposition, Imaging, Brain,
Maximum likelihood estimation, Networks, connectome, low-rank, estimation
BibRef
Yi, J.R.[Jing-Ru],
Wu, P.X.[Peng-Xiang],
Metaxas, D.N.[Dimitris N.],
ASSD: Attentive single shot multibox detector,
CVIU(189), 2019, pp. 102827.
Elsevier DOI
1911
Object detection, Attention, Single shot detection
BibRef
Yi, J.R.[Jing-Ru],
Wu, P.X.[Peng-Xiang],
Jiang, M.[Menglin],
Hoeppner, D.J.[Daniel J.],
Metaxas, D.N.[Dimitris N.],
Instance Segmentation of Neural Cells,
BioIm18(VI:395-402).
Springer DOI
1905
BibRef
Li, Q.,
Shen, L.,
3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks,
MedImg(39), No. 2, February 2020, pp. 425-435.
IEEE DOI
2002
Neurons, Image reconstruction,
Image segmentation, Convolution, Morphology,
3D U-Net Plus
BibRef
Zhao, J.[Jie],
Chen, X.J.[Xue-Jin],
Xiong, Z.W.[Zhi-Wei],
Liu, D.[Dong],
Zeng, J.J.[Jun-Jie],
Xie, C.Y.[Chao-Yu],
Zhang, Y.Y.[Yue-Yi],
Zha, Z.J.[Zheng-Jun],
Bi, G.Q.[Guo-Qiang],
Wu, F.[Feng],
Neuronal Population Reconstruction From Ultra-Scale Optical
Microscopy Images via Progressive Learning,
MedImg(39), No. 12, December 2020, pp. 4034-4046.
IEEE DOI
2012
Image reconstruction, Sociology, Statistics, Neurites,
Noise measurement, Manuals, Neuronal population reconstruction,
progressive learning
BibRef
Chen, X.J.[Xue-Jin],
Zhang, C.[Chi],
Zhao, J.[Jie],
Xiong, Z.W.[Zhi-Wei],
Zha, Z.J.[Zheng-Jun],
Wu, F.[Feng],
Weakly Supervised Neuron Reconstruction From Optical Microscopy
Images With Morphological Priors,
MedImg(40), No. 11, November 2021, pp. 3205-3216.
IEEE DOI
2111
Neurons, Image reconstruction, Image segmentation,
Feature extraction, Morphology, Generative adversarial networks,
weakly supervised
BibRef
Jiang, Y.,
Chen, W.,
Liu, M.,
Wang, Y.,
Meijering, E.,
3D Neuron Microscopy Image Segmentation via the Ray-Shooting Model
and a DC-BLSTM Network,
MedImg(40), No. 1, January 2021, pp. 26-37.
IEEE DOI
2012
Image segmentation, Neurons, Feature extraction,
Microscopy, Solid modeling, Training,
neuron reconstruction
BibRef
Chen, W.,
Liu, M.,
Zhan, Q.,
Tan, Y.,
Meijering, E.,
Radojevic, M.,
Wang, Y.,
Spherical-Patches Extraction for Deep-Learning-Based Critical Points
Detection in 3D Neuron Microscopy Images,
MedImg(40), No. 2, February 2021, pp. 527-538.
IEEE DOI
2102
Neurons, Microscopy, Image reconstruction, microscopy images
BibRef
Lee, K.[Kisuk],
Lu, R.[Ran],
Luther, K.[Kyle],
Seung, H.S.[H. Sebastian],
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron
Reconstruction,
MedImg(40), No. 12, December 2021, pp. 3801-3811.
IEEE DOI
2112
Neurons, Image segmentation, Measurement,
Image reconstruction, Semantics, neuron reconstruction
BibRef
Maheswari, P.U.[P. Uma],
Banumathi, A.,
Ulaganathan, G.,
Yoganandha, R.,
Inferior alveolar nerve canal segmentation by local features based
neural network model,
IET-IPR(16), No. 3, 2022, pp. 703-716.
DOI Link
2202
BibRef
Song, P.F.[Ping-Fan],
Verinaz-Jadan, H.[Herman],
Howe, C.L.[Carmel L.],
Foust, A.J.[Amanda J.],
Dragotti, P.L.[Pier Luigi],
Light-Field Microscopy for the Optical Imaging of Neuronal Activity:
When model-based methods meet data-driven approaches,
SPMag(39), No. 2, March 2022, pp. 58-72.
IEEE DOI
2203
Microscopy, Computational modeling, Neurons, Social factors,
Signal processing algorithms, Optical imaging, Machine learning
BibRef
Song, P.F.[Ping-Fan],
Jadan, H.V.[Herman Verinaz],
Howe, C.L.[Carmel L.],
Foust, A.J.[Amanda J.],
Dragotti, P.L.[Pier Luigi],
Model-Based Explainable Deep Learning for Light-Field Microscopy
Imaging,
IP(33), 2024, pp. 3059-3074.
IEEE DOI
2405
Imaging, Microscopy, Lenses, Optical imaging, Neurons,
Computational modeling, Light-field microscopy,
algorithm unrolling
BibRef
Yan, W.Z.[Wei-Zheng],
Qu, G.[Gang],
Hu, W.X.[Wen-Xing],
Abrol, A.[Anees],
Cai, B.[Biao],
Qiao, C.[Chen],
Plis, S.M.[Sergey M.],
Wang, Y.P.[Yu-Ping],
Sui, J.[Jing],
Calhoun, V.D.[Vince D.],
Deep Learning in Neuroimaging: Promises and challenges,
SPMag(39), No. 2, March 2022, pp. 87-98.
IEEE DOI
2203
Neuroimaging, Deep learning, Sensitivity and specificity,
Data models, Reliability, Biomedical imaging
BibRef
Yang, B.[Bo],
Liu, M.[Min],
Wang, Y.[Yaonan],
Zhang, K.[Kang],
Meijering, E.[Erik],
Structure-Guided Segmentation for 3D Neuron Reconstruction,
MedImg(41), No. 4, April 2022, pp. 903-914.
IEEE DOI
2204
Image segmentation, Neurons, Image reconstruction, Decoding,
Feature extraction, Transforms, Image segmentation, microscopy images
BibRef
Chauvin, L.[Laurent],
Kumar, K.[Kuldeep],
Desrosiers, C.[Christian],
Wells, W.M.[William M.],
Toews, M.[Matthew],
Efficient Pairwise Neuroimage Analysis Using the Soft Jaccard Index
and 3D Keypoint Sets,
MedImg(41), No. 4, April 2022, pp. 836-845.
IEEE DOI
2204
Magnetic resonance imaging, Kernel, Training, Biomedical imaging,
Uncertainty, Task analysis, Neuroimage analysis,
family prediction
BibRef
Wang, X.[Xuan],
Liu, M.[Min],
Wang, Y.[Yaonan],
Fan, J.W.[Jia-Wang],
Meijering, E.[Erik],
A 3D Tubular Flux Model for Centerline Extraction in Neuron
Volumetric Images,
MedImg(41), No. 5, May 2022, pp. 1069-1079.
IEEE DOI
2205
Feature extraction, Neurons,
Solid modeling, Image reconstruction, Data mining, Skeleton,
fluorescence microscopy
BibRef
Chen, W.[Weixun],
Liu, M.[Min],
Du, H.[Hao],
Radojevic, M.[Miroslav],
Wang, Y.[Yaonan],
Meijering, E.[Erik],
Deep-Learning-Based Automated Neuron Reconstruction From 3D
Microscopy Images Using Synthetic Training Images,
MedImg(41), No. 5, May 2022, pp. 1031-1042.
IEEE DOI
2205
Neurons, Image reconstruction,
Microscopy, Training, Reconstruction algorithms, microscopy images
BibRef
Nikoloska, I.[Ivana],
Simeone, O.[Osvaldo],
Training Hybrid Classical-Quantum Classifiers via Stochastic
Variational Optimization,
SPLetters(29), 2022, pp. 977-981.
IEEE DOI
2205
Neurons, Stochastic processes, Training,
Integrated circuit modeling, Optimization, Qubit, Encoding,
quantum machine learning
BibRef
Couedic, T.L.[Thomas Le],
Caillon, R.[Raphael],
Rossant, F.[Florence],
Joutel, A.[Anne],
Urien, H.[Helene],
Rajani, R.M.[Rikesh M.],
Deep-learning based segmentation of challenging myelin sheaths,
IPTA20(1-6)
IEEE DOI
2206
Image segmentation, Axons, Spinal cord, Senior citizens, Tools,
White matter, Task analysis, deep learning, segmentation, myelin, axon,
electron microscopy
BibRef
Jia, S.S.[Shan-Shan],
Yu, Z.F.[Zhao-Fei],
Onken, A.[Arno],
Tian, Y.H.[Yong-Hong],
Huang, T.J.[Tie-Jun],
Liu, J.K.[Jian K.],
Neural System Identification With Spike-Triggered Non-Negative Matrix
Factorization,
Cyber(52), No. 6, June 2022, pp. 4772-4783.
IEEE DOI
2207
Retina, Biological system modeling, Biological neural networks,
Visualization, Kernel, Integrated circuit modeling, Ganglia,
system identification
BibRef
Huang, W.[Wei],
Chen, C.[Chang],
Xiong, Z.W.[Zhi-Wei],
Zhang, Y.Y.[Yue-Yi],
Chen, X.J.[Xue-Jin],
Sun, X.Y.[Xiao-Yan],
Wu, F.[Feng],
Semi-Supervised Neuron Segmentation via Reinforced Consistency
Learning,
MedImg(41), No. 11, November 2022, pp. 3016-3028.
IEEE DOI
2211
Neurons, Task analysis, Image segmentation, Data models,
Perturbation methods, Training, Information filters,
electron microscopy images
BibRef
Liu, C.[Chao],
Wang, D.L.[De-Li],
Zhang, H.[Han],
Wu, W.[Wei],
Sun, W.Z.[Wen-Zhi],
Zhao, T.[Ting],
Zheng, N.G.[Neng-Gan],
Using Simulated Training Data of Voxel-Level Generative Models to
Improve 3D Neuron Reconstruction,
MedImg(41), No. 12, December 2022, pp. 3624-3635.
IEEE DOI
2212
Neurons, Image segmentation, Data models, Image reconstruction,
Training data, Training, Microscopy, Neuron reconstruction,
image segmentation
BibRef
Zhu, T.F.[Tian-Fang],
Yao, G.[Gang],
Hu, D.[Dongli],
Xie, C.C.[Chuang-Chuang],
Li, P.C.[Peng-Cheng],
Yang, X.Q.[Xiao-Quan],
Gong, H.[Hui],
Luo, Q.M.[Qing-Ming],
Li, A.[Anan],
Data-Driven Morphological Feature Perception of Single Neuron With
Graph Neural Network,
MedImg(42), No. 10, October 2023, pp. 3069-3079.
IEEE DOI
2310
BibRef
Xie, G.Y.[Guo-Yang],
Huang, Y.W.[Ya-Wen],
Wang, J.B.[Jin-Bao],
Lyu, J.Y.[Jia-Yi],
Zheng, F.[Feng],
Zheng, Y.F.[Ye-Feng],
Jin, Y.C.[Yao-Chu],
Cross-Modality Neuroimage Synthesis: A Survey,
Surveys(56), No. 3, October 2023, pp. xx-yy.
DOI Link Code:
WWW Link.
2311
multi-modality neuroimaging synthesis, deep learning,
Cross-domain, medical image analysis
BibRef
Zhou, H.[Hang],
Li, Y.X.[Yu-Xin],
Wen, W.[Wu],
Yang, H.[Hao],
Ma, Y.[Yayu],
Chen, M.[Min],
Accurately 3D neuron localization using 2D conv-LSTM super-resolution
segmentation network,
IET-IPR(18), No. 2, 2024, pp. 535-547.
DOI Link
2402
biomedical optical imaging, brain, medical image processing,
optical microscopy, supervised learning
BibRef
Wang, Y.J.[Yi-Jun],
Lang, R.[Rui],
Li, R.[Rui],
Zhang, J.S.[Jun-Song],
NRTR: Neuron Reconstruction With Transformer From 3D Optical
Microscopy Images,
MedImg(43), No. 2, February 2024, pp. 886-898.
IEEE DOI
2402
Neurons, Image reconstruction, Transformers, Deep learning,
Hidden Markov models, Morphology, Neuron reconstruction,
transformer
BibRef
Liu, M.[Min],
Wu, S.H.[Shu-Han],
Chen, R.[Runze],
Lin, Z.[Zhuangdian],
Wang, Y.[Yaonan],
Meijering, E.[Erik],
Brain Image Segmentation for Ultrascale Neuron Reconstruction via an
Adaptive Dual-Task Learning Network,
MedImg(43), No. 7, July 2024, pp. 2574-2586.
IEEE DOI
2407
Image segmentation, Feature extraction, Neurons,
Image reconstruction, Brain, Task analysis, Image segmentation,
dual-task learning
BibRef
Li, Z.C.[Zhen-Chen],
Yang, X.[Xu],
Liu, J.Z.[Jia-Zheng],
Hong, B.[Bei],
Zhang, Y.C.[Yan-Chao],
Zhai, H.[Hao],
Shen, L.J.[Li-Jun],
Chen, X.[Xi],
Liu, Z.Y.[Zhi-Yong],
Han, H.[Hua],
DeepMulticut: Deep Learning of Multicut Problem for Neuron
Segmentation From Electron Microscopy Volume,
PAMI(46), No. 12, December 2024, pp. 8696-8714.
IEEE DOI
2411
Optimization, Deep learning, Neurons, Pipelines, Task analysis,
Estimation, Costs, Neuron segmentation, electron microscopy (EM),
combinatorial optimization
BibRef
Zhu, D.[Daiyi],
Chen, Q.H.[Qi-Hua],
Chen, X.J.[Xue-Jin],
Self-Supervised Learning of Skeleton-Aware Morphological
Representation for 3D Neuron Segments,
3DV24(1436-1445)
IEEE DOI
2408
Cerebral cortex, Shape, Neurons, Surface morphology, Morphology,
Feature extraction, Morphological representation, Neuron classification
BibRef
Shamsi, N.I.[Nina I.],
Xu, A.S.[Alec S.],
Gjesteby, L.A.[Lars A.],
Brattain, L.J.[Laura J.],
Improved Topological Preservation in 3D Axon Segmentation and
Centerline Detection using Geometric Assessment-driven Topological
Smoothing (GATS),
WACV24(7990-7999)
IEEE DOI
2404
Measurement, Axons, Image segmentation, Solid modeling,
Smoothing methods, Annotations, Applications
BibRef
Xu, A.S.[Alec S.],
Shamsi, N.I.[Nina I.],
Gjesteby, L.A.[Lars A.],
Brattain, L.J.[Laura J.],
Self-Supervised Edge Detection Reconstruction for Topology-Informed
3D Axon Segmentation and Centerline Detection,
WACV24(7816-7824)
IEEE DOI
2404
Training, Axons, Solid modeling, Image edge detection,
Brain modeling, Data models, Applications, Biomedical / healthcare / medicine
BibRef
Dinsdale, N.K.[Nicola K],
Jenkinson, M.[Mark],
Namburete, A.I.[Ana IL],
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging
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ICCV23(11460-11471)
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WWW Link.
2401
BibRef
Lumetti, L.[Luca],
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Grana, C.[Costantino],
Annotating the Inferior Alveolar Canal: The Ultimate Tool,
CIAP23(I:525-536).
Springer DOI
2312
BibRef
Wang, Y.Q.[Yi-Qun],
Skorokhodov, I.[Ivan],
Wonka, P.[Peter],
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces,
CVPR23(12598-12607)
IEEE DOI
2309
BibRef
O'Mahony, L.[Laura],
Andrearczyk, V.[Vincent],
Müller, H.[Henning],
Graziani, M.[Mara],
Disentangling Neuron Representations with Concept Vectors,
XAI4CV23(3770-3775)
IEEE DOI
2309
BibRef
Czolbe, S.[Steffen],
Dalca, A.V.[Adrian V.],
Neuralizer: General Neuroimage Analysis without Re-Training,
CVPR23(6217-6230)
IEEE DOI
2309
BibRef
Liu, X.Y.[Xiao-Yu],
Hu, B.[Bo],
Li, M.X.[Ming-Xing],
Huang, W.[Wei],
Zhang, Y.[Yueyi],
Xiong, Z.W.[Zhi-Wei],
A Soma Segmentation Benchmark in Full Adult Fly Brain,
CVPR23(7402-7411)
IEEE DOI
2309
BibRef
Zhao, R.[Runkai],
Wang, H.[Heng],
Zhang, C.Y.[Chao-Yi],
Cai, W.D.[Wei-Dong],
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology
Learning of Point Clouds,
WACV23(5776-5786)
IEEE DOI
2302
Point cloud compression, Geometry, Image segmentation,
Surface reconstruction, Neurons, Skeleton, 3D computer vision
BibRef
Xu, B.L.[Bao-Lei],
Li, X.J.[Xiao-Jie],
Shi, C.H.[Cang-Hong],
Online Neural Fiber Classification Method based on Lightweight Neural
Network,
ICIVC22(442-448)
IEEE DOI
2301
Image registration, Uncertainty, Neural networks, Manuals,
Optical fiber networks, Robustness, Classification algorithms,
Image processing algorithm
BibRef
Zhuang, P.X.[Pei-Xian],
Wu, J.[Jiamin],
Reinforcing Neuron Extraction from Calcium Imaging Data via
Depth-Estimation Constrained Nonnegative Matrix Factorization,
ICIP22(216-220)
IEEE DOI
2211
Atmospheric modeling, Neurons, Estimation, Scattering, Imaging,
Channel estimation, Brain modeling, Neuron extraction,
nonnegative matrix factorization
BibRef
Cipriano, M.[Marco],
Allegretti, S.[Stefano],
Bolelli, F.[Federico],
Pollastri, F.[Federico],
Grana, C.[Costantino],
Improving Segmentation of the Inferior Alveolar Nerve through Deep
Label Propagation,
CVPR22(21105-21114)
IEEE DOI
2210
Deep learning, Training, Solid modeling, Irrigation, Annotations,
Data models, Datasets and evaluation, Deep learning architectures and techniques
BibRef
Balwani, A.[Aishwarya],
Miano, J.[Joseph],
Liu, R.[Ran],
Kitchell, L.[Lindsey],
Prasad, J.A.[Judy A.],
Johnson, E.C.[Erik C.],
Gray-Roncal, W.[William],
Dyer, E.L.[Eva L.],
Multi-Scale Modeling of Neural Structure in X-Ray Imagery,
ICIP21(141-145)
IEEE DOI
2201
Deep learning, Image segmentation, Image resolution, Limiting,
Brain modeling, Mice, Multi-task learning, brain mapping,
X-ray microtomography
BibRef
Huang, Y.W.[Ya-Wen],
Zheng, F.[Feng],
Wang, D.Y.[Dan-Yang],
Huang, W.[Weilin],
Scott, M.R.[Matthew R.],
Shao, L.[Ling],
Brain Image Synthesis with Unsupervised Multivariate Canonical CSC
l4Net,
CVPR21(5877-5886)
IEEE DOI
2111
Neuroimaging, Manifolds, Pathology, Image segmentation, Neuroscience,
Image synthesis, Robustness
BibRef
You, Z.,
Jiang, M.,
Shi, Z.,
Shi, C.,
Du, S.,
Liang, J.,
Herard, A.S.,
Jan, C.,
Souedet, N.,
Delzescaux, T.,
Automated Detection Of Highly Aggregated Neurons In Microscopic
Images Of Macaque Brain,
ICIP20(315-319)
IEEE DOI
2011
Neurons, Microscopy, Indexes, Biological materials,
Economic indicators, Neuron detection, point annotation,
microscopic image
BibRef
Pan, X.,
Ren, Y.,
Sheng, K.,
Dong, W.,
Yuan, H.,
Guo, X.,
Ma, C.,
Xu, C.,
Dynamic Refinement Network for Oriented and Densely Packed Object
Detection,
CVPR20(11204-11213)
IEEE DOI
2008
Feature extraction, Kernel, Object detection, Shape, Convolution,
Neurons, Training
BibRef
Talwar, A.,
Lin, Z.,
Wei, D.,
Wu, Y.,
Zheng, B.,
Zhao, J.,
Jang, W.,
Wang, X.,
Lichtman, J.,
Pfister, H.,
A Topological Nomenclature for 3D Shape Analysis in Connectomics,
Microscopy20(4245-4253)
IEEE DOI
2008
Shape, Neurons, Skeleton, Topology,
Neuroscience, Morphology
BibRef
Klinghoffer, T.,
Morales, P.,
Park, Y.,
Evans, N.,
Chung, K.,
Brattain, L.J.,
Self-Supervised Feature Extraction for 3D Axon Segmentation,
Microscopy20(4213-4219)
IEEE DOI
2008
Task analysis, Axons, Training,
Image segmentation, Microscopy
BibRef
Kim, E.,
Rego, J.,
Watkins, Y.,
Kenyon, G.T.,
Modeling Biological Immunity to Adversarial Examples,
CVPR20(4665-4674)
IEEE DOI
2008
Retina, Visualization, Machine learning,
Biological system modeling, Neurons, Ganglia
BibRef
Hwang, S.J.,
Tao, Z.,
Singh, V.,
Kim, W.H.,
Conditional Recurrent Flow: Conditional Generation of Longitudinal
Samples With Applications to Neuroimaging,
ICCV19(10691-10700)
IEEE DOI
2004
brain, data analysis, diseases, image sequences,
medical image processing, neural nets, neurophysiology, Diseases
BibRef
Cortés, X.[Xavier],
Conte, D.[Donatello],
Makris, P.[Pascal],
Nerve Contour Tracking for Ultrasound-Guided Regional Anesthesia,
NTIAP19(244-251).
Springer DOI
1909
BibRef
Parag, T.[Toufiq],
Berger, D.[Daniel],
Kamentsky, L.[Lee],
Staffler, B.[Benedikt],
Wei, D.L.[Dong-Lai],
Helmstaedter, M.[Moritz],
Lichtman, J.W.[Jeff W.],
Pfister, H.[Hanspeter],
Detecting Synapse Location and Connectivity by Signed Proximity
Estimation and Pruning with Deep Nets,
BioIm18(VI:354-364).
Springer DOI
1905
BibRef
Tan, Y.H.[Ying-Hui],
Luo, H.Q.[Hui-Qiong],
Wang, X.P.[Xue-Ping],
Liu, M.[Min],
Convolutional Neural Network Cascade Based Neuron Termination
Detection in 3D Image Stacks,
ICIP18(4048-4052)
IEEE DOI
1809
Neurons, Convolution, Training, Image reconstruction,
Convolutional neural network cascade
BibRef
Liu, M.,
Liu, K.,
Wang, C.,
Luo, H.,
Local Neuron Radius Estimation in Volumetric Microscopy Images,
ICIP18(3848-3852)
IEEE DOI
1809
Neurons, Estimation, Microscopy,
Sampling methods, Mathematical model,
Multistencils Fast Marching method
BibRef
Batabyal, T.,
Acton, S.T.,
Elastic Path2Path: Automated Morphological Classification of Neurons
by Elastic Path Matching,
ICIP18(166-170)
IEEE DOI
1809
Neurons, Measurement, Shape, Morphology,
Feature extraction, Hafnium, elastic curves, neuron matching,
quantitative image analysis
BibRef
Jimenez, C.,
Diaz, D.,
Salazar, D.,
Alvarez, A.M.,
Orozco, A.A.,
Henao, O.A.,
Nerve Structure Segmentation from Ultrasound Images Using Random
Under-Sampling and an SVM Classifier,
ICIAR18(571-578).
Springer DOI
1807
BibRef
Chai, X.Q.[Xiao-Qi],
Qian, D.[Douglas],
Ba, Q.L.[Qin-Le],
Li, A.R.[Ang-Ran],
Zhang, Y.J.J.[Yong-Jie Jessica],
Yang, G.[Ge],
Image-based measurement of cargo traffic flow in complex neurite
networks,
ICIP17(3290-3294)
IEEE DOI
1803
Biomedical imaging, Indexes, Neuroscience,
Q measurement, image-based measurement, kymograph, network flow,
traffic flow
BibRef
Liang, H.,
Acton, S.T.,
Weller, D.S.,
Content-aware neuron image enhancement,
ICIP17(3510-3514)
IEEE DOI
1803
Image enhancement, Image segmentation, Indexes, Neurons, Skeleton,
tubular structure
BibRef
Shen, W.,
Wang, B.,
Jiang, Y.,
Wang, Y.,
Yuille, A.L.,
Multi-stage Multi-recursive-input Fully Convolutional Networks for
Neuronal Boundary Detection,
ICCV17(2410-2419)
IEEE DOI
1802
brain models, cellular biophysics, convolution,
image reconstruction, image segmentation,
BibRef
Tang, Z.,
Zhang, D.,
Liu, S.,
Song, Y.,
Peng, H.,
Cai, W.,
Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing,
BioIm17(126-133)
IEEE DOI
1802
Biological neural networks, Image reconstruction, Morphology,
Neurons, Skeleton, Transforms
BibRef
Kim, H.J.,
Adluru, N.,
Suri, H.,
Vemuri, B.C.,
Johnson, S.C.,
Singh, V.,
Riemannian Nonlinear Mixed Effects Models:
Analyzing Longitudinal Deformations in Neuroimaging,
CVPR17(5777-5786)
IEEE DOI
1711
Brain modeling, Computational modeling, Data models, Diseases,
Manifolds, Measurement, Strain
BibRef
He, L.,
Lu, C.T.,
Ding, H.,
Wang, S.,
Shen, L.,
Yu, P.S.,
Ragin, A.B.,
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification,
CVPR17(6846-6854)
IEEE DOI
1711
Data mining, Data models, Diseases, Feature extraction, Kernel,
Neuroimaging, Tensile, stress
BibRef
Kim, W.H.[Won Hwa],
Jalal, M.[Mona],
Hwang, S.J.[Seong-Jae],
Johnson, S.C.[Sterling C.],
Singh, V.[Vikas],
Online Graph Completion:
Multivariate Signal Recovery in Computer Vision,
CVPR17(5019-5027)
IEEE DOI
1711
E.g. neuroimaging application.
Extraterrestrial measurements, Fourier transforms,
Laplace equations, Wavelet, transforms
BibRef
Ghani, M.U.[Muhammad Usman],
Erdil, E.[Ertunç],
Kanik, S.D.[Sümeyra Demir],
Argunsah, A.Ö.[Ali Özgür],
Hobbiss, A.F.[Anna Felicity],
Israely, I.[Inbal],
Ünay, D.[Devrim],
Tasdizen, T.[Tolga],
Çetin, M.[Müjdat],
Dendritic Spine Shape Analysis: A Clustering Perspective,
BioImage16(I: 256-273).
Springer DOI
1611
BibRef
Mesbah, R.,
McCane, B.,
Mills, S.,
Deep convolutional encoder-decoder for myelin and axon segmentation,
ICVNZ16(1-6)
IEEE DOI
1701
Axons
BibRef
An, W.[Wookyung],
Choe, Y.[Yoonsuck],
Automated Reconstruction of Neurovascular Networks in Knife-Edge
Scanning Microscope Rat Brain Nissl Data Set,
ISVC16(I: 439-448).
Springer DOI
1701
BibRef
Xu, K.,
Su, H.,
Zhu, J.,
Guan, J.S.,
Zhang, B.,
Neuron Segmentation Based on CNN with Semi-Supervised Regularization,
Microscopy16(1324-1332)
IEEE DOI
1612
BibRef
Chakraborty, R.,
Zhen, X.,
Vogt, N.,
Bendlin, B.B.,
Singh, V.,
Dilated Convolutional Neural Networks for Sequential Manifold-Valued
Data,
ICCV19(10620-10630)
IEEE DOI
2004
Convolution, Manifolds, Data models, Machine learning, Kernel,
Brain modeling, Geometry
BibRef
Kim, W.H.[Won Hwa],
Hwang, S.J.[Seong Jae],
Adluru, N.[Nagesh],
Hwang, S.J.[Seong Jae],
Adluru, N.[Nagesh],
Collins, M.D.,
Ravi, S.N.,
Bendlin, B.B.,
Johnson, S.C.[Sterling C.],
Singh, V.[Vikas],
Coupled Harmonic Bases for Longitudinal Characterization of Brain
Networks,
CVPR16(2517-2525)
IEEE DOI
1612
BibRef
Johnson, S.C.[Sterling C.],
Singh, V.[Vikas],
Adaptive Signal Recovery on Graphs via Harmonic Analysis for
Experimental Design in Neuroimaging,
ECCV16(VI: 188-205).
Springer DOI
1611
BibRef
Bielecki, A.[Andrzej],
Gierdziewicz, M.[Maciej],
Kalita, P.[Piotr],
Szostek, K.[Kamil],
Construction of a 3D Geometric Model of a Presynaptic Bouton for Use in
Modeling of Neurotransmitter Flow,
ICCVG16(377-386).
Springer DOI
1611
BibRef
Hadjerci, O.,
Hafiane, A.,
Vieyres, P.,
Conte, D.,
Makris, P.,
Delbos, A.,
On-line learning dynamic models for nerve detection in ultrasound
videos,
ICIP16(131-135)
IEEE DOI
1610
Computational modeling
BibRef
Miolane, N.[Nina],
Pennec, X.[Xavier],
A Survey of Mathematical Structures for Extending 2D Neurogeometry to
3D Image Processing,
MCV15(155-167).
Springer DOI
1608
Neurogeometry models the neuronal architecture of the visual cortex
through Differential Geometry.
Models for 3D medical computer vision.
BibRef
Kim, W.H.,
Ravi, S.N.,
Johnson, S.C.,
Okonkwo, O.C.,
Singh, V.,
On Statistical Analysis of Neuroimages with Imperfect Registration,
ICCV15(666-674)
IEEE DOI
1602
Algorithm design and analysis
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Roncal, W.G.[William Gray],
Pekala, M.[Michael],
Kaynig-Fittkau, V.[Verena],
Kleissas, D.M.[Dean M.],
Vogelstein, J.T.[Joshua T.],
Pfister, H.[Hanspeter],
Burns, R.[Randal],
Vogelstein, R.J.[R. Jacob],
Chevillet, M.A.[Mark A.],
Hager, G.D.[Gregory D.],
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer
Vision at Large Scale,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Duncan, A.[Adam],
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Srivastava, A.[Anuj],
Geometric Analysis of Axonal Tree Structures,
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1601
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McGraw, T.[Tim],
Graph-Based Visualization of Neuronal Connectivity Using Matrix Block
Partitioning and Edge Bundling,
ISVC15(I: 3-13).
Springer DOI
1601
BibRef
Maier, T.[Tobias],
Vetter, T.[Thomas],
Implicit Boundary Learning for Connectomics,
CIAP15(I:39-49).
Springer DOI
1511
neurons in 3D electron microscopy
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Hadjerci, O.[Oussama],
Hafiane, A.[Adel],
Makris, P.[Pascal],
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Nerve Localization by Machine Learning Framework with New Feature
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CIAP15(I:246-256).
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1511
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Ozgur Argunsah, A.,
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Automatic dendritic spine detection using multiscale dot enhancement
filters and SIFT features,
ICIP14(26-30)
IEEE DOI
1502
Feature extraction
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Beelitz, H.,
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Towards automatic reconstruction of axonal structures in volumetric
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IPTA12(426-431)
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1503
image reconstruction
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Automated Axon Segmentation from Highly Noisy Microscopic Videos,
WACV15(915-920)
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1503
Feature extraction
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Marquand, A.[Andre],
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Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for
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ICPR14(3185-3190)
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1412
Approximation methods
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1410
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ICIP13(1163-1166)
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1402
Biomedical imaging
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1402
Convolution
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Neurofilament tracking by detection in fluorescence microscopy images,
ICIP13(3123-3127)
IEEE DOI
1402
Markov Random Field (MRF); fluorescence microscopy; graph cut
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1307
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1111
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1111
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1011
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1006
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
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