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129
papertalks found
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
06/07/2020
A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling
Ahmed E. Fetit
,
Amir Alansary
,
Lucilio Cordero-Grande
and
John Cupitt
,
Alice B. Davidson
,
A. David Edwards
,
Joseph V. Hajnal
,
Emer Hughes
,
Konstantinos Kamnitsas
,
Vanessa Kyriakopoulou
,
Antonios Makropoulos
,
Prachi A. Patkee
,
Anthony N. Price
,
Mary A. Rutherford
,
Daniel Rueckert
Keywords
Abstract
Paper
4:55
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
06/07/2020
Siamese Tracking of Cell Behaviour Patterns
Andreas Panteli
,
Deepak K. Gupta
,
Nathan Bruijn
,
Efstratios Gavves
Keywords
Abstract
Paper
4:47
07/08/2020
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated Data
Hadia Hameed
,
Samantha Kleinberg
Keywords
Abstract
Paper
2:58
07/08/2020
Knowledge Base Completion for Constructing Problem-Oriented Medical Records
James Mullenbach
,
Jordan Swartz
,
T. Greg McKelvey
and
Hui Dai
,
David Sontag
Keywords
Abstract
Paper
3:05
23/07/2020
Multiple instance learning for predicting necrotizing enterocolitis in premature infants using microbiome data
Thomas Hooven
,
Yun Chao Lin
,
Ansaf Salleb-Aouissi
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Health informatics
8:10
06/07/2020
On Direct Distribution Matching for Adapting Segmentation Networks
Georg Pichler
,
Jose Dolz
,
Ismail Ben Ayed
,
Pablo Piantanida
Keywords
Abstract
Paper
4:59
06/07/2020
Joint Learning of Vessel Segmentation and Artery/Vein Classification with Post-processing
Liangzhi Li
,
Manisha Verma
,
Yuta Nakashima
and
Ryo Kawasaki
,
Hajime Nagahara
Keywords
Abstract
Paper
4:53
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
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
06/07/2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective.
Ahmad B. Qasim
,
Ivan Ezhov
,
Suprosanna Shit
and
Oliver Schoppe
,
Johannes C. Paetzold
,
Anjany Sekuboyina
,
Florian Kofler
,
Jana Lipkova
,
Hongwei Li
,
Bjoern Menze
Keywords
Abstract
Paper
4:32
06/07/2020
Prostate Cancer Semantic Segmentation by Gleason Score Group in bi-parametric MRI with Self Attention Model on the Peripheral Zone
Audrey Duran
,
Pierre-Marc Jodoin
,
Carole Lartizien
Keywords
Abstract
Paper
4:59
23/07/2020
Analyzing the role of model uncertainty for electronic health records
Michael W. Dusenberry
,
Dustin Tran
,
Edward Choi
and
Jonas Kemp
,
Jeremy Nixon
,
Ghassen Jerfel
,
Katherine Heller
,
Andrew M. Dai
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Computing methodologies
,
Machine learning
,
Machine learning approaches
,
Neural networks
,
Modeling and simulation
,
Model development and analysis
,
Uncertainty quantification
8:18
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
07/08/2020
Robust Benchmarking for Machine Learning of Clinical Entity Extraction
Monica Agrawal
,
Chloe O’Connell
,
Yasmin Fatemi
and
Ariel Levy
,
David Sontag
Keywords
Abstract
Paper
2:56
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
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
06/07/2020
A Learning Strategy for Contrast-agnostic MRI Segmentation
Benjamin Billot
,
Douglas N. Greve
,
Koen Van Leemput
and
Bruce Fischl
,
Juan Eugenio Iglesias
,
Adrian Dalca
Keywords
Abstract
Paper
15:00
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
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
06/07/2020
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans
Vincent Andrearczyk
,
Valentin Oreiller
,
Martin Vallières
and
Joel Castelli
,
Hesham Elhalawani
,
Mario Jreige
,
Sarah Boughdad
,
John O. Prior
,
Adrien Depeursinge
Keywords
Abstract
Paper
4:31
06/07/2020
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
Jun Ma
,
Zhan Wei
,
Yiwen Zhang
and
Yixin Wang
,
Rongfei Lv
,
Cheng Zhu
,
Chen Gaoxiang
,
Jianan Liu
,
Chao Peng
,
Lei Wang
,
Yunpeng Wang
,
Jianan Chen
Keywords
Abstract
Paper
4:48
06/07/2020
Beyond Classification: Whole Slide Tissue Histopathology Analysis By End-To-End Part Learning
Chensu Xie
,
Hassan Muhammad
,
Chad M. Vanderbilt
and
Raul Caso
,
Dig Vijay Kumar Yarlagadda
,
Gabriele Campanella
,
Thomas J. Fuchs
Keywords
Abstract
Paper
14:34
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
06/07/2020
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
Chen-Han Tsai
,
Nahum Kiryati
,
Eli Konen
and
Iris Eshed
,
Arnaldo Mayer
Keywords
Abstract
Paper
5:00
23/07/2020
Fast learning-based registration of sparse 3D clinical images
Kathleen Lewis
,
Natalia S. Rost
,
John Guttag
,
Adrian V. Dalca
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
7:05
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
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
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
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
Generating Fundus Fluorescence Angiography Images from Structure Fundus Images Using Generative Adversarial Networks
Wanyue Li
,
Wen Kong
,
Yiwei Chen
and
Jing Wang
,
Yi He
,
Guohua Shi
,
Guohua Deng
Keywords
Abstract
Paper
5:00
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
07/08/2020
Learning to Ask Medical Questions using Reinforcement Learning
Uri Shaham
,
Tom Zahavy
,
Cesar Caraballo
and
Shiwani Mahajan
,
Daisy Massey
,
Harlan Krumholz
Keywords
Abstract
Paper
3:11
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
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Peter Hirsch
,
Dagmar Kainmueller
Keywords
Abstract
Paper
4:37
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
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
07/08/2020
Non-Invasive Classification of Alzheimer’s Disease Using Eye Tracking and Language
Oswald Barral
,
Hyeju Jang
,
Sally Newton-Mason
and
Sheetal Shajan
,
Thomas Soroski
,
Giuseppe Carenini
,
Cristina Conati
,
Thalia Field
Keywords
Abstract
Paper
3:07
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
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