Pancreas CT Segmentation by Predictive Phenotyping
暂无分享,去创建一个
Shunxing Bao | Yuankai Huo | Bennett A. Landman | Zhoubing Xu | Jeffrey M. Spraggins | Ho Hin Lee | Qi Yang | Riqiang Gao | Yucheng Tang | Xin Yu | Yuyin Zhou | Jack Virostko | B. Landman | Yuankai Huo | S. Bao | Zhoubing Xu | Qi Yang | Yucheng Tang | Riqiang Gao | Xin Yu | Yuyin Zhou | J. Spraggins | John Virostko
[1] Shunxing Bao,et al. Body Part Regression With Self-Supervision , 2021, IEEE Transactions on Medical Imaging.
[2] Shunxing Bao,et al. High-resolution 3D abdominal segmentation with random patch network fusion , 2020, Medical Image Anal..
[3] Shunxing Bao,et al. Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records , 2020, ML-CDS/CLIP@MICCAI.
[4] Mihaela van der Schaar,et al. Temporal Phenotyping using Deep Predictive Clustering of Disease Progression , 2020, ICML.
[5] Laurens van der Maaten,et al. Self-Supervised Learning of Pretext-Invariant Representations , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] F. Sanz,et al. Identifying temporal patterns in patient disease trajectories using dynamic time warping: A population-based study , 2018, Scientific Reports.
[7] Alan L. Yuille,et al. A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation , 2017, 2018 International Conference on 3D Vision (3DV).
[8] Fei Wang,et al. Patient Subtyping via Time-Aware LSTM Networks , 2017, KDD.
[9] Duc Thanh Anh Luong,et al. A K-Means Approach to Clustering Disease Progressions , 2017, 2017 IEEE International Conference on Healthcare Informatics (ICHI).
[10] Alan L. Yuille,et al. Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans , 2017, MICCAI.
[11] Yan Wang,et al. A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans , 2016, MICCAI.
[12] Ya Zhang,et al. A Machine Learning-based Framework to Identify Type 2 Diabetes through Electronic Health Records , 2016, bioRxiv.
[13] J. Virostko,et al. Use of the Electronic Medical Record to Assess Pancreas Size in Type 1 Diabetes , 2016, PloS one.
[14] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.
[15] Ali Farhadi,et al. Unsupervised Deep Embedding for Clustering Analysis , 2015, ICML.
[16] Ronald M. Summers,et al. DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation , 2015, MICCAI.
[17] Ronald M. Summers,et al. Deep convolutional networks for pancreas segmentation in CT imaging , 2015, Medical Imaging.
[18] H. Quan,et al. Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data , 2005, Medical care.
[19] C. Hales,et al. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis , 1992, Diabetologia.
[20] Joshua C. Denny,et al. Type 2 Diabetes Risk Forecasting from EMR Data using Machine Learning , 2012, AMIA.
[21] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[22] E. Sasaki,et al. Pancreatic volume in type 1 und type 2 diabetes mellitus , 2001, Acta Diabetologica.