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Locomotor deficits in a mouse model of ALS are paralleled by loss of V1-interneuron connections onto fast motor neurons

Nature communications, 2021-05, Vol.12 (1), p.3251-3251, Article 3251

2021

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Segmentation of roots in soil with U-Net

Plant methods, 2020-02, Vol.16 (1), p.13-13, Article 13

2020

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Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks

Scientific reports, 2021-08, Vol.11 (1), p.16001-16001, Article 16001

2021

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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

Scientific reports, 2021-02, Vol.11 (1), p.3246-3246, Article 3246

2021

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A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization

IEEE transactions on signal processing, 2016-09, Vol.64 (18), p.4792-4804

2016

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IEEE_Xplore

Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning

npj computational materials, 2022-10, Vol.8 (1), p.1-11, Article 213

2022

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STABILIZATION OF V1 INTERNEURON-MOTOR NEURON SYNAPSES AMELIORATES MOTOR DEFICITS IN A MOUSE MODEL OF ALS

IBRO neuroscience reports, 2023-10, Vol.15, p.S612-S613

2023

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Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals

Ecological informatics, 2021-12, Vol.66, p.101456, Article 101456

2021

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High‐throughput classification of S. cerevisiae tetrads using deep learning

Yeast (Chichester, England), 2024-06

2024

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Predicting lake bathymetry from the topography of the surrounding terrain using deep learning

Limnology and oceanography, methods, 2023-10, Vol.21 (10), p.625-636

2023

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Graph refinement based airway extraction using mean-field networks and graph neural networks

Medical image analysis, 2020-08, Vol.64, p.101751, Article 101751

2020

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Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses

Medical physics (Lancaster), 2019-10, Vol.46 (10), p.4431-4440

2019

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Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies

IEEE transactions on medical imaging, 2019-07, Vol.38 (7), p.1559-1568

2019

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IEEE_Xplore

A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation

Journal of open source software, 2024-02, Vol.9 (94), p.6024

2024

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Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging

Imaging neuroscience (Cambridge, Mass.), 2023-12, Vol.1, p.1-15

2023

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Detection of foraging behavior from accelerometer data using U-Net type convolutional networks

Ecological informatics, 2021-05, Vol.62, p.101275, Article 101275

2021

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Spinal inhibitory neurons degenerate before motor neurons and excitatory neurons in a mouse model of ALS

Science advances, 2024-05, Vol.10 (22), p.eadk3229

2024

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A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs

Machine Learning in Medical Imaging, 2019, p.583-591

2019

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Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space

Biomedical Image Registration, p.166-176

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Segmenting Two-Dimensional Structures with Strided Tensor Networks

Information Processing in Medical Imaging, p.401-414

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Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows

Machine Learning in Medical Imaging, 2020, Vol.12436, p.80-90

2020

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DeepStruc: towards structure solution from pair distribution function data using deep generative models

Digital discovery, 2023-02, Vol.2 (1), p.69-80

2023

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Operating Critical Machine Learning Models in Resource Constrained Regimes

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops, p.325-335

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Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods

Deep Generative Models, p.24-33

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Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.506-516

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Locomotor deficits in a mouse model of ALS are paralleled by loss of V1-interneuron connections onto fast motor neurons

Segmentation of roots in soil with U-Net

Automatic airway segmentation from computed tomography using robust and efficient 3-D convolutional neural networks

Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

A Batch Algorithm for Estimating Trajectories of Point Targets Using Expectation Maximization

Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning

STABILIZATION OF V1 INTERNEURON-MOTOR NEURON SYNAPSES AMELIORATES MOTOR DEFICITS IN A MOUSE MODEL OF ALS

Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals

High‐throughput classification of S. cerevisiae tetrads using deep learning

Predicting lake bathymetry from the topography of the surrounding terrain using deep learning

Graph refinement based airway extraction using mean-field networks and graph neural networks

Extracting tree structures in CT data by tracking multiple statistically ranked hypotheses

Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies

A GPU-Accelerated Open-Source Python Package for Calculating Powder Diffraction, Small-Angle-, and Total Scattering with the Debye Scattering Equation

Ten recommendations for reducing the carbon footprint of research computing in human neuroimaging

Detection of foraging behavior from accelerometer data using U-Net type convolutional networks

Spinal inhibitory neurons degenerate before motor neurons and excitatory neurons in a mouse model of ALS

A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs

Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas Using a Contrastively Learned Semantic Space

Segmenting Two-Dimensional Structures with Strided Tensor Networks

Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows

DeepStruc: towards structure solution from pair distribution function data using deep generative models

Operating Critical Machine Learning Models in Resource Constrained Regimes

Interpreting Latent Spaces of Generative Models for Medical Images Using Unsupervised Methods

Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

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