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129
papertalks found
06/07/2020
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation
Francesco Calivá
,
Andrew P. Leynes
,
Rutwik Shah
and
Upasana Upadhyay Bharadwaj
,
Sharmila Majumdar
,
Peder E. Z. Larson
,
Valentina Pedoia
Keywords
Abstract
Paper
5:00
23/07/2020
Disease state prediction from single-cell data using graph attention networks
Neal Ravindra
,
Arijit Sehanobish
,
Jenna L. Pappalardo
and
David A. Hafler
,
David van Dijk
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Computational biology
,
Computational transcriptomics
,
Computing methodologies
,
Machine learning
,
Machine learning algorithms
,
Feature selection
,
Machine learning approaches
,
Neural networks
8:07
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
Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions
Hari Bandi
,
Dimitris Bertsimas
Keywords
Abstract
Paper
3:04
06/07/2020
SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention
Yichi Zhang
,
Lin Yuan
,
Yujia Wang
,
Jicong Zhang
Keywords
Abstract
Paper
5:51
06/07/2020
Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks
Jasper Linmans
,
Jeroen van der Laak
,
Geert Litjens
Keywords
Abstract
Paper
4:44
06/07/2020
Siamese Tracking of Cell Behaviour Patterns
Andreas Panteli
,
Deepak K. Gupta
,
Nathan Bruijn
,
Efstratios Gavves
Keywords
Abstract
Paper
4:47
06/07/2020
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Peter Hirsch
,
Dagmar Kainmueller
Keywords
Abstract
Paper
4:37
23/07/2020
Survival cluster analysis
Paidamoyo Chapfuwa
,
Chunyuan Li
,
Nikhil Mehta
and
Lawrence Carin
,
Ricardo Henao
Keywords
Abstract
Paper
Computing methodologies
,
Machine learning
,
Machine learning algorithms
,
Machine learning approaches
,
Learning latent representations
7:25
06/07/2020
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation
Yukun Ding
,
Jinglan Liu
,
Xiaowei Xu
and
Meiping Huang
,
Jian Zhuang
,
Jinjun Xiong
,
Yiyu Shi
Keywords
Abstract
Paper
14:58
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
23/07/2020
An adversarial approach for the robust classification of pneumonia from chest radiographs
Joseph D. Janizek
,
Gabriel Erion
,
Alex J. DeGrave
,
Su-In Lee
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Computing methodologies
,
Machine learning
,
Machine learning approaches
,
Learning latent representations
,
Neural networks
8:07
07/08/2020
Using deep networks for scientific discovery in physiological signals
Tom Beer
,
Bar Eini-Porat
,
Sebastian Goodfellow
and
Danny Eytan
,
Uri Shalit
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
Attentive Adversarial Network for Large-Scale Sleep Staging
Samaneh Nasiri
,
Gari D. Clifford
Keywords
Abstract
Paper
3:03
23/07/2020
Extracting medical entities from social media
Sanja Scepanovic
,
Enrique Martin-Lopez
,
Daniele Quercia
,
Khan Baykaner
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Health informatics
,
Computing methodologies
,
Artificial intelligence
,
Natural language processing
6:12
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
06/07/2020
Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement
Roger D. Soberanis-Mukul
,
Nassir Navab
,
Shadi Albarqouni
Keywords
Abstract
Paper
14:58
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
Hidden stratification causes clinically meaningful failures in machine learning for medical imaging
Luke Oakden-Rayner
,
Jared Dunnmon
,
Gustavo Carneiro
,
Christopher Re
Keywords
Abstract
Paper
Computing methodologies
,
Machine learning
7:23
07/08/2020
MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations
Mijung Kim
,
Ho-min Park
,
Jae Yoon Kim
and
Seong Hwan Kim
,
Sofie Hoeke
,
Wesley De Neve
Keywords
Abstract
Paper
2:52
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
06/07/2020
Deep learning-based retinal vessel segmentation with cross-modal evaluation
Luisa Sanchez Brea
,
Danilo Andrade De Jesus
,
Stefan Klein
,
Theo van Walsum
Keywords
Abstract
Paper
4:47
06/07/2020
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
Sriprabha Ramanarayanan
,
Balamurali Murugesan
,
Keerthi Ram
,
Mohanasankar Sivaprakasam
Keywords
Abstract
Paper
13:22
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
An Evaluation of the Doctor-Interpretability of Generalized Additive Models with Interactions
Stefan Hegselmann
,
Thomas Volkert
,
Hendrik Ohlenburg
and
Antje Gottschalk
,
Martin Dugas
,
Christian Ertmer
Keywords
Abstract
Paper
2:53
06/07/2020
KD-MRI: A knowledge distillation framework for image reconstruction and image restoration in MRI workflow
Balamurali Murugesan
,
Sricharan Vijayarangan
,
Kaushik Sarveswaran
and
Keerthi Ram
,
Mohanasankar Sivaprakasam
Keywords
Abstract
Paper
4:14
06/07/2020
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
Richard Shaw
,
Carole H. Sudre
,
Sébastien Ourselin
,
M. Jorge Cardoso
Keywords
Abstract
Paper
15:00
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
Feature Disentanglement to Aid Imaging Biomarker Characterization for Genetic Mutations
Padmaja Jonnalagedda
,
Brent Weinberg
,
Jason Allen
,
Bir Bhanu
Keywords
Abstract
Paper
4:57
06/07/2020
Comparing Objective Functions for Segmentation and Detection of Microaneurysms in Retinal Images
Jakob K. H. Andersen
,
Jakob Grauslund
,
Thiusius R. Savarimuthu
Keywords
Abstract
Paper
4:42
06/07/2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
Nan Wu
,
Stanisław Jastrzębski
,
Jungkyu Park
and
Linda Moy
,
Kyunghyun Cho
,
Krzysztof J. Geras
Keywords
Abstract
Paper
4:48
07/08/2020
Time-Aware Transformer-based Network for Clinical Notes Series Prediction
Dongyu Zhang
,
Jidapa Thadajarassiri
,
Cansu Sen
,
Elke Rundensteiner
Keywords
Abstract
Paper
3:00
06/07/2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays
Mohammad Hashir
,
Hadrien Bertrand
,
Joseph Paul Cohen
Keywords
Abstract
Paper
4:56
06/07/2020
Adversarial Domain Adaptation for Cell Segmentation
Mohammad Minhazul Haq
,
Junzhou Huang
Keywords
Abstract
Paper
4:14
07/08/2020
Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals
George H. Chen
Keywords
Abstract
Paper
3:28
07/08/2020
Students Need More Attention: BERT-based Attention Model for Small Data with Application to Automatic Patient Message Triage
Shijing Si
,
Rui Wang
,
Jedrek Wosik
and
Hao Zhang
,
David Dov
,
Guoyin Wang
,
Lawrence Carin
Keywords
Abstract
Paper
2:42
06/07/2020
Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning
Max-Heinrich Laves
,
Sontje Ihler
,
Jacob F. Fast
and
Lüder A. Kahrs
,
Tobias Ortmaier
Keywords
Abstract
Paper
15:00
06/07/2020
Priority U-Net: Detection of Punctuate White Matter Lesions in Preterm Neonate in 3D Cranial Ultrasonography
Pierre Erbacher
,
Carole Lartizien
,
Matthieu Martin
and
Pedro Foletto-Pimenta
,
Philippe Quetin
,
Philippe Delachartre
Keywords
Abstract
Paper
4:47
07/08/2020
UPSTAGE: Unsupervised Context Augmentation for Utterance Classification in Patient-Provider Communication
Do June Min
,
Veronica Perez-Rosas
,
Shihchen Kuo
and
William H. Herman
,
Rada Mihalcea
Keywords
Abstract
Paper
3:07
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