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09/17/2023
Image-level supervision and self-training for transformer-based cross-modality tumor segmentation
Deep neural networks are commonly used for automated medical image segme...
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03/13/2023
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction
Intensity modulated radiotherapy (IMRT) is one of the most common modali...
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03/07/2023
Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction
Adaptive radiotherapy is a growing field of study in cancer treatment du...
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12/14/2022
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision
Automated medical image segmentation using deep neural networks typicall...
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07/05/2021
Label noise in segmentation networks : mitigation must deal with bias
Imperfect labels limit the quality of predictions learned by deep neural...
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08/03/2020
3D B-mode ultrasound speckle reduction using deep learning for 3D registration applications
Ultrasound (US) speckles are granular patterns which can impede image po...
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04/02/2019
Boosting segmentation with weak supervision from image-to-image translation
In many cases, especially with medical images, it is prohibitively chall...
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01/28/2019
End-to-End Discriminative Deep Network for Liver Lesion Classification
Colorectal liver metastasis is one of most aggressive liver malignancies...
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01/13/2019
The Liver Tumor Segmentation Benchmark (LiTS)
In this work, we report the set-up and results of the Liver Tumor Segmen...
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01/11/2019
Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images
Breast cancer is the most diagnosed cancer and the most predominant caus...
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06/06/2018
Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US
Ultrasound (US) can be used to assess brain development in newborns, as ...
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06/06/2018
Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis
Anterior Vertebral Body Growth Modulation (AVBGM) is a minimally invasiv...
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07/24/2017
Liver lesion segmentation informed by joint liver segmentation
We propose a model for the joint segmentation of the liver and liver les...
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01/31/2017
On orthogonality and learning recurrent networks with long term dependencies
It is well known that it is challenging to train deep neural networks an...
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01/17/2017
3D Morphology Prediction of Progressive Spinal Deformities from Probabilistic Modeling of Discriminant Manifolds
We introduce a novel approach for predicting the progression of adolesce...
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08/14/2016
The Importance of Skip Connections in Biomedical Image Segmentation
In this paper, we study the influence of both long and short skip connec...
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02/05/2016
Sub-cortical brain structure segmentation using F-CNN's
In this paper we propose a deep learning approach for segmenting sub-cor...
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08/31/2015
