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07/27/2023
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images
This paper introduces vox2vec - a contrastive method for self-supervised...
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12/13/2022
Solving Sample-Level Out-of-Distribution Detection on 3D Medical Images
Deep Learning (DL) models tend to perform poorly when the data comes fro...
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11/01/2022
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
When applying a Deep Learning model to medical images, it is crucial to ...
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04/14/2022
Interpretable Vertebral Fracture Quantification via Anchor-Free Landmarks Localization
Vertebral body compression fractures are early signs of osteoporosis. Th...
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03/28/2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency
Deep learning methods provide significant assistance in analyzing corona...
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08/21/2021
Systematic Clinical Evaluation of A Deep Learning Method for Medical Image Segmentation: Radiosurgery Application
We systematically evaluate a Deep Learning (DL) method in a 3D medical i...
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07/18/2021
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection Augmentation
Domain shift is one of the most salient challenges in medical computer v...
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07/10/2021
Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation
Domain Adaptation (DA) methods are widely used in medical image segmenta...
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12/11/2020
Type-Centric Kotlin Compiler Fuzzing: Preserving Test Program Correctness by Preserving Types
Kotlin is a relatively new programming language from JetBrains: its deve...
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08/17/2020
First U-Net Layers Contain More Domain Specific Information Than The Last Ones
MRI scans appearance significantly depends on scanning protocols and, co...
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07/20/2020
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation
Target imbalance affects the performance of recent deep learning methods...
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06/02/2020
CT-based COVID-19 Triage: Deep Multitask Learning Improves Joint Identification and Severity Quantification
The current COVID-19 pandemic overloads healthcare systems, including ra...
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05/25/2020
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification
Vertebral body compression fractures are reliable early signs of osteopo...
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11/13/2019
Multi-domain CT metal artifacts reduction using partial convolution based inpainting
Recent CT Metal Artifacts Reduction (MAR) methods are often based on ima...
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09/16/2019
ReduKtor: How We Stopped Worrying About Bugs in Kotlin Compiler
Bug localization is well-known to be a difficult problem in software eng...
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09/06/2019
Deep Learning for Brain Tumor Segmentation in Radiosurgery: Prospective Clinical Evaluation
Stereotactic radiosurgery is a minimally-invasive treatment option for a...
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08/13/2019
Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection
Midline shift (MLS) is a well-established factor used for outcome predic...
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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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10/22/2018
Brain Tumor Image Retrieval via Multitask Learning
Classification-based image retrieval systems are built by training convo...
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08/01/2018
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation
Deep learning methods are actively used for brain lesion segmentation. O...
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07/30/2018
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging
Nowadays, a lot of scientific efforts are concentrated on the diagnosis ...
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02/03/2018
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation
In the last years, neural networks have proven to be a powerful framewor...
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01/26/2017
Structural Connectome Validation Using Pairwise Classification
In this work, we study the extent to which structural connectomes and to...
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01/23/2017
Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
In the recent years there have been a number of studies that applied dee...
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11/27/2016
Kernel classification of connectomes based on earth mover's distance between graph spectra
In this paper, we tackle a problem of predicting phenotypes from structu...
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09/05/2016
