医学 AI - arXivDaily 专题

1812.04604 2018-12-12 cs.CV cs.AI 57%

Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics

Biye Jiang, David M. Chan, Tianhao Zhang, John F. Canny

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

1812.02852 2018-12-10 cs.LG stat.ML 57%

Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction

Gang Luo

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Journal ref Gang Luo. Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction. Health Information Science and Systems, Vol. 4, No. 2, Mar. 2016

1812.02824 2018-12-10 stat.AP cs.LG stat.ML 57%

Structural Damage Detection and Localization with Unknown Post-Damage Feature Distribution Using Sequential Change-Point Detection Method

Yizheng Liao, Anne S. Kiremidjian, Ram Rajagopal, Chin-Hsuing Loh

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 20 pages

1812.01496 2018-12-05 cs.CV 57%

Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI

Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments 10 pages, 4 figures

1811.08592 2018-11-28 cs.CV cs.SD eess.AS 57%

Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions

Albert Haque, Michelle Guo, Adam S Miner, Li Fei-Fei

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216

1811.10112 2018-11-27 cs.LG stat.ML 57%

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task

Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière, Julien Stirnemann, Emmanuel Spaggiari, Antoine Neuraz

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 24 pages

1811.07155 2018-11-20 cs.AI cs.LG 57%

Monotonic classification: an overview on algorithms, performance measures and data sets

José-Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michał Woźniak, Salvador García

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1811.06156 2018-11-16 cs.CL cs.AI cs.LG 57%

Exploiting Sentence Embedding for Medical Question Answering

Yu Hao, Xien Liu, Ji Wu, Ping Lv

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 8 pages

1809.06147 2018-11-13 cs.CV 57%

Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation

Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, Yong Man Ro

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments This paper presented at ECCV 2018 Workshop

1811.00749 2018-11-05 cs.LG stat.ML 57%

Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data

Shuo Yang

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1808.05754 2018-11-05 cs.CV 57%

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

C. -H. Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, I-Hung Lin, Yi-Chieh Liu, Hao-Hsiang Yang, Jesper Tegner

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments A extension work of a workshop paper arXiv admin note: substantial text overlap with arXiv:1806.06423

Journal ref Asian Conference on Computer Vision (ACCV), Artificial Intelligence for Retinal Image Analysis Workshop, December 2-6, 2018

1810.12690 2018-10-31 cs.CV 57%

Role of Class-specific Features in Various Classification Frameworks for Human Epithelial (HEp-2) Cell Images

Vibha Gupta, Arnav Bhavsar

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

1810.09012 2018-10-23 cs.CV 57%

C2A: Crowd Consensus Analytics for Virtual Colonoscopy

Ji Hwan Park, Saad Nadeem, Seyedkoosha Mirhosseini, Arie Kaufman

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 21-30, 2016 (10 pages, 11 figures)

Journal ref IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 21-30, 2016

1810.07954 2018-10-19 stat.ML cs.LG 57%

HierLPR: Decision making in hierarchical multi-label classification with local precision rates

Christine Ho, Yuting Ye, Ci-Ren Jiang, Wayne Tai Lee, Haiyan Huang

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 27 pages, 9 figures

1810.07692 2018-10-19 cs.LG 57%

Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks

Jing Mei, Shiwan Zhao, Feng Jin, Eryu Xia, Haifeng Liu, Xiang Li

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1810.05347 2018-10-15 cs.LG cs.CY stat.ML 57%

Optimal Hierarchical Learning Path Design with Reinforcement Learning

Xiao Li, Hanchen Xu, Jinming Zhang, Hua-hua Chang

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1806.07416 2018-10-05 cs.CV 57%

Fast CapsNet for Lung Cancer Screening

Aryan Mobiny, Hien Van Nguyen

专题命中诊断辅助：CT(abstract)；分类 cs.CV

1809.08567 2018-09-25 stat.ML cs.LG 57%

Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier

Jordi de la Torre, Aida Valls, Domenec Puig, Pere Romero-Aroca

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1809.04121 2018-09-13 cs.LG stat.ML 57%

Cartesian Neural Network Constitutive Models for Data-driven Elasticity Imaging

Cameron Hoerig, Jamshid Ghaboussi, Michael F. Insana

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments 22 pages, 8 figures

1809.03541 2018-09-12 cs.AI cs.LG stat.ML 57%

Bayesian Patchworks: An Approach to Case-Based Reasoning

Ramin Moghaddass, Cynthia Rudin

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1805.12317 2018-08-30 cs.LG stat.ML 57%

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

Michael P. Kim, Amirata Ghorbani, James Zou

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1808.08755 2018-08-28 cs.LG stat.ML 57%

Learning from Positive and Unlabeled Data under the Selected At Random Assumption

Jessa Bekker, Jesse Davis

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

1808.07967 2018-08-27 cs.CV 57%

Left ventricle quantification through spatio-temporal CNNs

Alejandro Debus, Enzo Ferrante

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments Accepted for publication at Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop @ MICCAI 2018

1804.09428 2018-08-21 cs.CV 57%

Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

Comments Accepted in MICCAI 2018

1706.03595 2018-08-15 physics.med-ph cs.LG physics.comp-ph 57%

Context encoding enables machine learning-based quantitative photoacoustics

Thomas Kirchner, Janek Gröhl, Lena Maier-Hein

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments under review JBO

1807.10930 2018-07-31 eess.SP 57%

Decimation analysis in the signal processing of current to detect broken bars in induction machine

J. S. Moreira, P. C. M. Lamim Filho, L. M. R. Baccarini, E. G. Nepomuceno, P. F. S. Guedes

专题命中诊断辅助：diagnosis(abstract)；分类 eess.SP

Comments in Portuguese

Journal ref CBA 2018 - XXII Congresso Brasileiro de Automatica, Joao Pessoa, p. 1-6

1802.03916 2018-07-27 cs.LG cs.AI cs.NE stat.ML 57%

Detecting and Correcting for Label Shift with Black Box Predictors

Zachary C. Lipton, Yu-Xiang Wang, Alex Smola

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments Published at the International Conference on Machine Learning (ICML) 2018

1807.08942 2018-07-25 cs.CV 57%

Example Mining for Incremental Learning in Medical Imaging

Pratyush Kumar, Muktabh Mayank Srivastava

专题命中诊断辅助：diagnosis(abstract)；分类 cs.CV

1806.11224 2018-07-23 eess.SP 57%

In Vivo WBAN Communication: Design and Implementation

Hadeel Elayan, Raed Shubair, Nawaf Almoosa

专题命中诊断辅助：diagnosis(abstract)；分类 eess.SP

Comments 15 pages, 9 figures

1711.03905 2018-07-17 stat.ML cs.LG 57%

Attend and Diagnose: Clinical Time Series Analysis using Attention Models

Huan Song, Deepta Rajan, Jayaraman J. Thiagarajan, Andreas Spanias

专题命中诊断辅助：diagnosis(abstract)；分类 cs.LG

Comments AAAI 2018

1. 诊断辅助 8283 篇

Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics

Automatically Explaining Machine Learning Prediction Results: A Demonstration on Type 2 Diabetes Risk Prediction

Structural Damage Detection and Localization with Unknown Post-Damage Feature Distribution Using Sequential Change-Point Detection Method

Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI

Measuring Depression Symptom Severity from Spoken Language and 3D Facial Expressions

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task

Monotonic classification: an overview on algorithms, performance measures and data sets

Exploiting Sentence Embedding for Medical Question Answering

Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation

Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

Role of Class-specific Features in Various Classification Frameworks for Human Epithelial (HEp-2) Cell Images

C2A: Crowd Consensus Analytics for Virtual Colonoscopy

HierLPR: Decision making in hierarchical multi-label classification with local precision rates

Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks

Optimal Hierarchical Learning Path Design with Reinforcement Learning

Fast CapsNet for Lung Cancer Screening

Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier

Cartesian Neural Network Constitutive Models for Data-driven Elasticity Imaging

Bayesian Patchworks: An Approach to Case-Based Reasoning

Multiaccuracy: Black-Box Post-Processing for Fairness in Classification

Learning from Positive and Unlabeled Data under the Selected At Random Assumption

Left ventricle quantification through spatio-temporal CNNs

Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images

Context encoding enables machine learning-based quantitative photoacoustics

Decimation analysis in the signal processing of current to detect broken bars in induction machine

Detecting and Correcting for Label Shift with Black Box Predictors

Example Mining for Incremental Learning in Medical Imaging

In Vivo WBAN Communication: Design and Implementation

Attend and Diagnose: Clinical Time Series Analysis using Attention Models