Bennett A. Landman

Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation

Active learning is a unique abstraction of machine learning techniques w...
01/07/2021 ∙ by Vishwesh Nath, et al. ∙ 25 ∙ share

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Multi-Contrast Computed Tomography Healthy Kidney Atlas

The construction of three-dimensional multi-modal tissue maps provides a...
12/23/2020 ∙ by Ho Hin Lee, et al. ∙ 13 ∙ share

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RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior

Performing coarse-to-fine abdominal multi-organ segmentation facilitates...
12/23/2020 ∙ by Ho Hin Lee, et al. ∙ 0 ∙ share

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Development and Characterization of a Chest CT Atlas

A major goal of lung cancer screening is to identify individuals with pa...
12/05/2020 ∙ by Kaiwen Xu, et al. ∙ 0 ∙ share

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Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk

Clinical data elements (CDEs) (e.g., age, smoking history), blood marker...
10/19/2020 ∙ by Riqiang Gao, et al. ∙ 0 ∙ share

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Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking

Recently, single-stage embedding based deep learning algorithms gain inc...
07/28/2020 ∙ by Mengyang Zhao, et al. ∙ 0 ∙ share

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Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning

Effective and non-invasive radiological imaging based tumor/lesion chara...
06/28/2020 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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CircleNet: Anchor-free Detection with Circle Representation

Object detection networks are powerful in computer vision, but not neces...
06/03/2020 ∙ by Haichun Yang, et al. ∙ 0 ∙ share

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The Value of Nullspace Tuning Using Partial Label Information

In semi-supervised learning, information from unlabeled examples is used...
03/17/2020 ∙ by Colin B. Hansen, et al. ∙ 0 ∙ share

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Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI

Diffusion-weighted magnetic resonance imaging (DW-MRI) is the only non-i...
02/20/2020 ∙ by Vishwesh Nath, et al. ∙ 15 ∙ share

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Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives

Segmentation of abdominal computed tomography(CT) provides spatial conte...
02/10/2020 ∙ by Yuchen Xu, et al. ∙ 0 ∙ share

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Outlier Guided Optimization of Abdominal Segmentation

Abdominal multi-organ segmentation of computed tomography (CT) images ha...
02/10/2020 ∙ by Yuchen Xu, et al. ∙ 0 ∙ share

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Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection

Recently, multi-task networks have shown to both offer additional estima...
12/16/2019 ∙ by Yiyuan Yang, et al. ∙ 0 ∙ share

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MRI correlates of chronic symptoms in mild traumatic brain injury

Veterans with mild traumatic brain injury (mTBI) have reported auditory ...
12/06/2019 ∙ by Cailey I. Kerley, et al. ∙ 0 ∙ share

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Stochastic tissue window normalization of deep learning on computed tomography

Tissue window filtering has been widely used in deep learning for comput...
12/01/2019 ∙ by Yuankai Huo, et al. ∙ 25 ∙ share

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Contrast Phase Classification with a Generative Adversarial Network

Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...
11/14/2019 ∙ by Yucheng Tang, et al. ∙ 49 ∙ share

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Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection

Multiple instance learning (MIL) is a supervised learning methodology th...
11/13/2019 ∙ by Samuel W. Remedios, et al. ∙ 15 ∙ share

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Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution

Confocal histology provides an opportunity to establish intra-voxel fibe...
11/13/2019 ∙ by Vishwesh Nath, et al. ∙ 0 ∙ share

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Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging

Annual low dose computed tomography (CT) lung screening is currently adv...
11/12/2019 ∙ by Riqiang Gao, et al. ∙ 0 ∙ share

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Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision

Human in-the-loop quality assurance (QA) is typically performed after me...
11/12/2019 ∙ by Ho Hin Lee, et al. ∙ 9 ∙ share

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Methods and open-source toolkit for analyzing and visualizing challenge results

Biomedical challenges have become the de facto standard for benchmarking...
10/11/2019 ∙ by Manuel Wiesenfarth, et al. ∙ 10 ∙ share

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Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection

The field of lung nodule detection and cancer prediction has been rapidl...
09/11/2019 ∙ by Riqiang Gao, et al. ∙ 0 ∙ share

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Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning

Generalizability is an important problem in deep neural networks, especi...
08/13/2019 ∙ by Camilo Bermudez, et al. ∙ 17 ∙ share

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Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE

Abstract. Intra-voxel models of the diffusion signal are essential for i...
07/15/2019 ∙ by Vishwesh Nath, et al. ∙ 0 ∙ share

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Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations

Manually tracing regions of interest (ROIs) within the liver is the de f...
06/23/2019 ∙ by Yuankai Huo, et al. ∙ 4 ∙ share

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3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles

Detailed whole brain segmentation is an essential quantitative technique...
03/28/2019 ∙ by Yuankai Huo, et al. ∙ 10 ∙ share

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Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury

Machine learning models are becoming commonplace in the domain of medica...
03/11/2019 ∙ by Samuel Remedios, et al. ∙ 24 ∙ share

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A large annotated medical image dataset for the development and evaluation of segmentation algorithms

Semantic segmentation of medical images aims to associate a pixel with a...
02/25/2019 ∙ by Amber L. Simpson, et al. ∙ 0 ∙ share

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Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics

Early detection of lung cancer is essential in reducing mortality. Recen...
02/21/2019 ∙ by Jiachen Wang, et al. ∙ 10 ∙ share

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Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols

Whole brain segmentation on structural magnetic resonance imaging (MRI) ...
01/07/2019 ∙ by Yunxi Xiong, et al. ∙ 8 ∙ share

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Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network

Brain imaging analysis on clinically acquired computed tomography (CT) i...
12/10/2018 ∙ by Cailey I. Kerley, et al. ∙ 0 ∙ share

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Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps

Deep brain stimulation (DBS) has the potential to improve the quality of...
11/26/2018 ∙ by Camilo Bermudez, et al. ∙ 0 ∙ share

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Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning

Coronary artery calcium (CAC) is biomarker of advanced subclinical coron...
11/10/2018 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks

The findings of splenomegaly, abnormal enlargement of the spleen, is a n...
11/09/2018 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth

A key limitation of deep convolutional neural networks (DCNN) based imag...
10/15/2018 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning

Diffusion-weighted magnetic resonance imaging (DW-MRI) allows for non-in...
10/09/2018 ∙ by Vishwesh Nath, et al. ∙ 0 ∙ share

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Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation

Probabilistic atlases provide essential spatial contextual information f...
06/06/2018 ∙ by Yuankai Huo, et al. ∙ 4 ∙ share

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

International challenges have become the standard for validation of biom...
06/06/2018 ∙ by Lena Maier-Hein, et al. ∙ 10 ∙ share

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Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data

Whole brain segmentation on a structural magnetic resonance imaging (MRI...
06/01/2018 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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Learning Implicit Brain MRI Manifolds with Deep Learning

An important task in image processing and neuroimaging is to extract qua...
01/05/2018 ∙ by Camilo Bermudez, et al. ∙ 0 ∙ share

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A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design

When processing large medical imaging studies, adopting high performance...
12/22/2017 ∙ by Shunxing Bao, et al. ∙ 0 ∙ share

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Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth

A lack of generalizability is one key limitation of deep learning based ...
12/20/2017 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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Opportunities for Mining Radiology Archives for Pediatric Control Images

A large database of brain imaging data from healthy, normal controls is ...
12/07/2017 ∙ by Camilo Bermudez, et al. ∙ 0 ∙ share

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Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation

Whole brain segmentation and cortical surface parcellation are essential...
12/02/2017 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks

Spleen volume estimation using automated image segmentation technique ma...
12/02/2017 ∙ by Yuankai Huo, et al. ∙ 0 ∙ share

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Bennett A. Landman

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