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129
papertalks found
07/08/2020
ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling
Yuan Luo
,
Chengsheng Mao
Keywords
Abstract
Paper
2:58
07/08/2020
Developing Personalized Models of Blood Pressure Estimation from Wearable Sensors Data Using Minimally-trained Domain Adversarial Neural Networks
Lida Zhang
,
Nathan C. Hurley
,
Bassem Ibrahim
and
Erica Spatz
,
Harlan M. Krumholz
,
Roozbeh Jafari
,
Mortazavi J. Bobak
Keywords
Abstract
Paper
3:00
06/07/2020
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation
Brandon Mac
,
Alan R. Moody
,
April Khademi
Keywords
Abstract
Paper
4:59
06/07/2020
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM)
David A. Wood
,
Jeremy Lynch
,
Sina Kafiabadi
and
Emily Guilhem
,
Aisha Al Busaidi
,
Antanas Montvila
,
Thomas Varsavsky
,
Juveria Siddiqui
,
Naveen Gadapa
,
Matthew Townend
,
Martin Kiik
,
Keena Patel
,
Gareth Barker
,
Sebastian Ourselin
,
James H. Cole
,
Thomas C. Booth
Keywords
Abstract
Paper
15:17
06/07/2020
Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain
Ahmed E. Fetit
,
John Cupitt
,
Turkay Kart
,
Daniel Rueckert
Keywords
Abstract
Paper
4:56
06/07/2020
Fast Mitochondria Detection for Connectomics
Vincent Casser
,
Kai Kang
,
Hanspeter Pfister
,
Daniel Haehn
Keywords
Abstract
Paper
5:00
06/07/2020
3D-RADNet: Extracting labels from DICOM metadata for training general medical domain deep 3D convolution neural networks
Richard Du
,
Varut Vardhanabhuti
Keywords
Abstract
Paper
3:50
06/07/2020
DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration
Abhishek Nan
,
Matthew Tennant
,
Uriel Rubin
,
Nilanjan Ray
Keywords
Abstract
Paper
4:59
06/07/2020
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network
Ziyue Xu
,
Xiaosong Wang
,
Hoo-Chang Shin
and
Dong Yang
,
Holger Roth
,
Fausto Milletari
,
Ling Zhang
,
Daguang Xu
Keywords
Abstract
Paper
14:42
23/07/2020
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines
Chirag Nagpal
,
Dennis Wei
,
Bhanukiran Vinzamuri
and
Monica Shekhar
,
Sara E. Berger
,
Subhro Das
,
Kush R. Varshney
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Health informatics
,
Mathematics of computing
,
Probability and statistics
,
Probabilistic representations
,
Bayesian networks
,
Causal networks
7:57
07/08/2020
Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging
Szu-Yen Hu
,
Shuhang Wang
,
Wei-Hung Weng
and
JingChao Wang
,
XiaoHong Wang
,
Arinc Ozturk
,
Quan Li
,
Viksit Kumar
,
Anthony E. Samir
Keywords
Abstract
Paper
2:59
06/07/2020
Deep Reinforcement Learning for Organ Localization in CT
Fernando Navarro
,
Anjany Sekuboyina
,
Diana Waldmannstetter
and
Jan C. Peeken
,
Stephanie E. Combs
,
Bjoern H. Menze
Keywords
Abstract
Paper
5:00
07/08/2020
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control
Ian Fox
,
Joyce Lee
,
Rodica Pop-Busui
,
Jenna Wiens
Keywords
Abstract
Paper
2:55
07/08/2020
Attentive Adversarial Network for Large-Scale Sleep Staging
Samaneh Nasiri
,
Gari D. Clifford
Keywords
Abstract
Paper
3:03
07/08/2020
Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations
Benjamin Schloss
,
Sandeep Konam
Keywords
Abstract
Paper
2:57
07/08/2020
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention
Yifeng Tao
,
Shuangxia Ren
,
Michael Q. Ding
and
Russell Schwartz
,
Xinghua Lu
Keywords
Abstract
Paper
2:46
23/07/2020
Adverse drug reaction discovery from electronic health records with deep neural networks
Wei Zhang
,
Zhaobin Kuang
,
Peggy Peissig
,
David Page
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Health informatics
,
Computing methodologies
,
Machine learning
,
Machine learning approaches
,
Neural networks
8:20
07/08/2020
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model
Riddhiman Adib
,
Paul Griffin
,
Sheikh Iqbal Ahamed
,
Mohammad Adibuzzaman
Keywords
Abstract
Paper
3:05
07/08/2020
Fast, Structured Clinical Documentation via Contextual Autocomplete
Divya Gopinath
,
Monica Agrawal
,
Luke Murray
and
Steven Horng
,
David Karger
,
David Sontag
Keywords
Abstract
Paper
3:03
07/08/2020
Clinical Collabsheets: 53 Questions to Guide a Clinical Collaboration
Shems Saleh
,
William Boag
,
Lauren Erdman
,
Tristan Naumann
Keywords
Abstract
Paper
2:54
23/07/2020
MIMIC-Extract: a data extraction, preprocessing, and representation pipeline for MIMIC-III
Shirly Wang
,
Matthew B. A. McDermott
,
Geeticka Chauhan
and
Marzyeh Ghassemi
,
Michael C. Hughes
,
Tristan Naumann
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Health care information systems
,
Health informatics
7:58
07/08/2020
Comparisons Between Hamiltonian Monte Carlo and Maximum A Posteriori For A Bayesian Model For Apixaban Induction Dose & Dose Personalization
A. Demetri Pananos
,
Daniel J. Lizotte
Keywords
Abstract
Paper
3:03
07/08/2020
Addressing Sample Size Challenges in Linked Data Through Data Fusion
Srikesh Arunajadai
,
Lulu Lee
,
Tom Haskell
Keywords
Abstract
Paper
3:02
06/07/2020
End-to-end learning of convolutional neural net and dynamic programming for left ventricle segmentation
Nhat M. Nguyen
,
Nilanjan Ray
Keywords
Abstract
Paper
4:46
06/07/2020
Multitask radiological modality invariant landmark localization using deep reinforcement learning
Vishwa S. Parekh
,
Bocchieri Alex E.
,
Vladimir Braverman
,
Michael A. Jacobs
Keywords
Abstract
Paper
4:59
07/08/2020
Learning Insulin-Glucose Dynamics in the Wild
Andrew C. Miller
,
Nicholas J. Foti
,
Emily Fox
Keywords
Abstract
Paper
3:10
07/08/2020
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output
Matthew B.A. McDermott
,
Tzu Ming Harry Hsu
,
Wei-Hung Weng
and
Marzyeh Ghassemi
,
Peter Szolovits
Keywords
Abstract
Paper
3:08
06/07/2020
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen
,
Mohammad Hashir
,
Rupert Brooks
,
Hadrien Bertrand
Keywords
Abstract
Paper
4:59
06/07/2020
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
Hoel Kervadec
,
Jose Dolz
,
Shanshan Wang
and
Eric Granger
,
Ismail Ben Ayed
Keywords
Abstract
Paper
15:09
06/07/2020
Direct estimation of fetal head circumference from ultrasound images based on regression CNN
Jing Zhang
,
Caroline Petitjean
,
Pierre Lopez
,
Samia Ainouz
Keywords
Abstract
Paper
15:00
07/08/2020
Attention-Based Network for Weak Labels in Neonatal Seizure Detection
Dmitry Yu. Isaev
,
Dmitry Tchapyjnikov
,
C. Michael Cotten
and
David Tanaka
,
Natalia Martinez
,
Martin Bertran
,
Guillermo Sapiro
,
David Carlson
Keywords
Abstract
Paper
2:36
07/08/2020
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling
Kristen A. Severson
,
Lana M. Chahine
,
Luba Smolensky
and
Kenney Ng
,
Jianying Hu
,
Soumya Ghosh
Keywords
Abstract
Paper
2:40
06/07/2020
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
Samaneh Abbasi-Sureshjani
,
Sina Amirrajab
,
Cristian Lorenz
and
Juergen Weese
,
Josien Pluim
,
Marcel Breeuwer
Keywords
Abstract
Paper
4:50
23/07/2020
Explaining an increase in predicted risk for clinical alerts
Michaela Hardt
,
Alvin Rajkomar
,
Gerardo Flores
and
Andrew Dai
,
Michael Howell
,
Greg Corrado
,
Claire Cui
,
Moritz Hardt
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Health informatics
7:35
06/07/2020
Understanding Alzheimer disease’s structural connectivity through explainable AI
Achraf Essemlali
,
Etienne St-Onge
,
Maxime Descoteaux
,
Pierre-Marc Jodoin
Keywords
Abstract
Paper
5:03
06/07/2020
Domain adaptation model for retinopathy detection from cross-domain OCT images
Jing Wang
,
Yiwei Chen
,
Wanyue Li
and
Wen Kong
,
Yi He
,
Chuihui Jiang
,
Guohua Shi
Keywords
Abstract
Paper
4:54
07/08/2020
Towards Early Diagnosis of Epilepsy from EEG Data
Diyuan Lu
,
Sebastian Bauer
,
Valentin Neubert
and
Laura Sophie Costard
,
Felix Rosenow
,
Jochen Triesch
Keywords
Abstract
Paper
3:00
07/08/2020
Differentially Private Survival Function Estimation
Lovedeep Gondara
,
Ke Wang
Keywords
Abstract
Paper
3:32
07/08/2020
Transfer Learning from Well-Curated to Less-Resourced Populations with HIV
Sonali Parbhoo
,
Mario Wieser
,
Volker Roth
,
Finale Doshi-Velez
Keywords
Abstract
Paper
2:44
23/07/2020
BMM-Net: automatic segmentation of edema in optical coherence tomography based on boundary detection and multi-scale network
Ruru Zhang
,
Jiawen He
,
Shenda Shi
and
Haihong E
,
Zhonghong Ou
,
Meina Song
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Computational biology
,
Imaging
,
Computing methodologies
,
Artificial intelligence
,
Computer vision
,
Computer vision problems
,
Image segmentation
,
Computer vision tasks
,
Biometrics
9:45
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