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05/09/2022
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling
Solving the inverse problem is the key step in evaluating the capacity o...
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10/09/2019
FastSurfer – A fast and accurate deep learning based neuroimaging pipeline
Traditional neuroimage analysis pipelines involve computationally intens...
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04/03/2019
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI
Purpose: Development of a fast and fully automated deep learning pipelin...
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11/24/2018
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control
We introduce Bayesian QuickNAT for the automated quality control of whol...
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10/11/2018
InfiNet: Fully Convolutional Networks for Infant Brain MRI Segmentation
We present a novel, parameter-efficient and practical fully convolutiona...
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10/11/2018
Learning Optimal Deep Projection of ^18F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian Syndromes
Several diseases of parkinsonian syndromes present similar symptoms at e...
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07/30/2018
Human Motion Analysis with Deep Metric Learning
Effectively measuring the similarity between two human motions is necess...
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07/20/2018
Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks
Increased information sharing through short and long-range skip connecti...
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07/09/2018
Complex Fully Convolutional Neural Networks for MR Image Reconstruction
Undersampling the k-space data is widely adopted for acceleration of Mag...
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06/29/2018
SynNet: Structure-Preserving Fully Convolutional Networks for Medical Image Synthesis
Cross modal image syntheses is gaining significant interests for its abi...
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04/19/2018
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling
We introduce inherent measures for effective quality control of brain se...
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03/31/2018
Webly Supervised Learning for Skin Lesion Classification
Within medical imaging, manual curation of sufficient well-labeled sampl...
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03/23/2018
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging
In this paper, for the first time, we propose an evaluation method for d...
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01/12/2018
QuickNAT: Segmenting MRI Neuroanatomy in 20 seconds
Whole brain segmentation from structural magnetic resonance imaging is a...
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05/02/2017
Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data
Training deep fully convolutional neural networks (F-CNNs) for semantic ...
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04/07/2017
ReLayNet: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network
Optical coherence tomography (OCT) is used for non-invasive diagnosis of...
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03/16/2017
Learning Robust Hash Codes for Multiple Instance Image Retrieval
In this paper, for the first time, we introduce a multiple instance (MI)...
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12/19/2016
Cross-Modal Manifold Learning for Cross-modal Retrieval
This paper presents a new scalable algorithm for cross-modal similarity ...
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12/16/2016