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129
papertalks found
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
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
06/07/2020
Mutual information deep regularization for semi-supervised segmentation
Jizong Peng
,
Marco Pedersoli
,
Christian Desrosiers
Keywords
Abstract
Paper
14:24
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
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
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
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
23/07/2020
TASTE: temporal and static tensor factorization for phenotyping electronic health records
Ardavan Afshar
,
Ioakeim Perros
,
Haesun Park
and
Christopher deFilippi
,
Xiaowei Yan
,
Walter Stewart
,
Joyce Ho
,
Jimeng Sun
Keywords
Abstract
Paper
Computing methodologies
,
Machine learning
,
Learning paradigms
,
Unsupervised learning
,
Dimensionality reduction and manifold learning
7:55
06/07/2020
Laplacian pyramid-based complex neural network learning for fast MR imaging
Haoyun Liang
,
Yu Gong
,
Hoel Kervadec
and
Cheng Li
,
Jing Yuan
,
Xin Liu
,
Hairong Zheng
,
Shanshan Wang
Keywords
Abstract
Paper
3:24
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
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
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
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
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
06/07/2020
Extending Unsupervised Neural Image Compression With Supervised Multitask Learning
David Tellez
,
Diederik Höppener
,
Cornelis Verhoef
and
Dirk Grünhagen
,
Pieter Nierop
,
Michal Drozdzal
,
Jeroen Laak
,
Francesco Ciompi
Keywords
Abstract
Paper
12:21
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
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
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping
Jinwei Zhang
,
Hang Zhang
,
Mert Sabuncu
and
Pascal Spincemaille
,
Thanh Nguyen
,
Yi Wang
Keywords
Abstract
Paper
4:24
06/07/2020
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification
Devanshu Arya
,
Richard Olij
,
Deepak K. Gupta
and
Ahmed El Gazzar
,
Guido Wingen
,
Marcel Worring
,
Rajat Mani Thomas
Keywords
Abstract
Paper
5:00
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
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
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
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
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
23/07/2020
CaliForest: calibrated random forest for health data
Yubin Park
,
Joyce C. Ho
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Health informatics
,
Computing methodologies
,
Machine learning
,
Machine learning algorithms
,
Ensemble methods
,
Bagging
,
Machine learning approaches
,
Classification and regression trees
,
General and reference
,
Cross-computing tools and techniques
,
Empirical studies
7:46
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
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
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
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
MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening
Eric W. Lee
,
Byron C. Wallace
,
Karla I. Galaviz
,
Joyce C. Ho
Keywords
Abstract
Paper
Applied computing
,
Life and medical sciences
,
Health informatics
,
Information systems
,
Information retrieval
,
Retrieval tasks and goals
,
Clustering and classification
7:52
06/07/2020
PathologyGAN: Learning deep representations of cancer tissue
Adalberto Claudio Quiros
,
Roderick Murray-Smith
,
Ke Yuan
Keywords
Abstract
Paper
5:00
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
07/08/2020
Neural Conditional Event Time Models
Matthew Engelhard
,
Samuel Berchuck
,
Joshua D’Arcy
,
Ricardo Henao
Keywords
Abstract
Paper
3:03
07/08/2020
Hidden Risks of Machine Learning Applied to Healthcare: Unintended Feedback Loops Between Models and Future Data Causing Model Degradation
George Alexandru Adam
,
Chun-Hao Kingsley Chang
,
Benjamin Haibe-Kains
,
Anna Goldenberg
Keywords
Abstract
Paper
3:04
06/07/2020
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
Darvin Yi
,
Endre Grøvik
,
Michael Iv
and
Elizabeth Tong
,
Greg Zaharchuk
,
Daniel Rubin
Keywords
Abstract
Paper
5:00
06/07/2020
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map
Da Ma
,
Donghuan Lu
,
Morgan Heisler
and
Setareh Dabiri
,
Sieun Lee
,
Gavin Weiguang Ding
,
Marinko V. Sarunic
,
Mirza Faisal Beg
Keywords
Abstract
Paper
5:00
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
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
07/08/2020
Towards data-driven stroke rehabilitation via wearable sensors and deep learning
Aakash Kaku
,
Avinash Parnandi
,
Anita Venkatesan
and
Natasha Pandit
,
Heidi Schambra
,
Carlos Fernandez-Granda
Keywords
Abstract
Paper
3:04
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
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