Cardiac Segmentation of LGE MRI with Noisy Labels. https://arxiv.org/abs/1910.01242
arXiv.org
Cardiac Segmentation of LGE MRI with Noisy Labels
In this work, we attempt the segmentation of cardiac structures in late
gadolinium-enhanced (LGE) magnetic resonance images (MRI) using only minimal
supervision in a two-step approach. In the...
gadolinium-enhanced (LGE) magnetic resonance images (MRI) using only minimal
supervision in a two-step approach. In the...
OpenVSLAM: A Versatile Visual SLAM Framework. https://arxiv.org/abs/1910.01122
arXiv.org
OpenVSLAM: A Versatile Visual SLAM Framework
In this paper, we introduce OpenVSLAM, a visual SLAM framework with high usability and extensibility. Visual SLAM systems are essential for AR devices, autonomous control of robots and drones,...
Unsupervised Pose Flow Learning for Pose Guided Synthesis
Zheng et al.: https://arxiv.org/abs/1909.13819
#ArtificialIntelligence #DeepLearning #MachineLearning https://t.iss.one/ArtificialIntelligenceArticles
Zheng et al.: https://arxiv.org/abs/1909.13819
#ArtificialIntelligence #DeepLearning #MachineLearning https://t.iss.one/ArtificialIntelligenceArticles
Awesome Machine Learning
A curated list of awesome machine learning frameworks, libraries and software (by language).
libraries: https://github.com/josephmisiti/awesome-machine-learning
books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
A curated list of awesome machine learning frameworks, libraries and software (by language).
libraries: https://github.com/josephmisiti/awesome-machine-learning
books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
GitHub
GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Machine Learning frameworks, libraries and software. - josephmisiti/awesome-machine-learning
Deep learning pioneer Yoshua Bengio explains why and how AI is not magic.
Learn More: https://www.forbes.com/sites/gilpress/2019/09/20/deep-learning-pioneer-yoshua-bengio-says-ai-is-not-magic-and-intel-ai-experts-explain-why-and-how/
Learn More: https://www.forbes.com/sites/gilpress/2019/09/20/deep-learning-pioneer-yoshua-bengio-says-ai-is-not-magic-and-intel-ai-experts-explain-why-and-how/
Forbes
Deep Learning Pioneer Yoshua Bengio Says AI Is Not Magic And Intel AI Experts Explain Why And How
Deep learning pioneer Yoshua Bengio and Intel executives on the present and future of AI
Deep Reinforcement Learning
CS 294-112 at UC Berkeley | Instructor Sergey Levine
Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/
#artificialintelligence #deeplearning #reinforcementlearning
CS 294-112 at UC Berkeley | Instructor Sergey Levine
Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/
#artificialintelligence #deeplearning #reinforcementlearning
Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster : https://ora.ox.ac.uk/objects/uuid:a55621b3-53c0-4e1b-ad1c-92438b57ffa4
#MultiAgent #ReinforcementLearning #DeepLearning
Jakob N. Foerster : https://ora.ox.ac.uk/objects/uuid:a55621b3-53c0-4e1b-ad1c-92438b57ffa4
#MultiAgent #ReinforcementLearning #DeepLearning
AI & Architecture
An Experimental Perspective
By Stanislas Chaillou, Harvard Graduate School of Design: https://towardsdatascience.com/ai-architecture-f9d78c6958e0
#artificialintelligence #architecture #design #deeplearning #technology
An Experimental Perspective
By Stanislas Chaillou, Harvard Graduate School of Design: https://towardsdatascience.com/ai-architecture-f9d78c6958e0
#artificialintelligence #architecture #design #deeplearning #technology
Medium
AI & Architecture
An Experimental Perspective
Visualizing the Loss Landscape of Neural Nets
PyTorch code by Tom Goldstein: https://github.com/tomgoldstein/loss-landscape
#pytorch #neuralnetworks #machinelearning #deeplearning #artificialintelligence
PyTorch code by Tom Goldstein: https://github.com/tomgoldstein/loss-landscape
#pytorch #neuralnetworks #machinelearning #deeplearning #artificialintelligence
GitHub
GitHub - tomgoldstein/loss-landscape: Code for visualizing the loss landscape of neural nets
Code for visualizing the loss landscape of neural nets - tomgoldstein/loss-landscape
Paper by Li Fei-Fei
Causal Induction from Visual Observations for Goal Directed Tasks
https://arxiv.org/abs/1910.01751
#MachineLearning #DeepLearning #ArtificialIntelligence
Causal Induction from Visual Observations for Goal Directed Tasks
https://arxiv.org/abs/1910.01751
#MachineLearning #DeepLearning #ArtificialIntelligence
Population dynamics of synthetic terraformation motifs
Solé et al.: https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180121
#SyntheticBiology #TheoreticalBiology #Mathematics
Solé et al.: https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.180121
#SyntheticBiology #TheoreticalBiology #Mathematics
On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps
William H. Guss and Ruslan Salakhutdinov : https://arxiv.org/abs/1910.01545
#ArtificialIntelligence #FunctionalAnalysis #MachineLearning
William H. Guss and Ruslan Salakhutdinov : https://arxiv.org/abs/1910.01545
#ArtificialIntelligence #FunctionalAnalysis #MachineLearning
Benchmarking Batch Deep Reinforcement Learning Algorithms
Fujimoto et al.: https://arxiv.org/abs/1910.01708
#MachineLearning #ArtificialIntelligence #ReinforcementLearning
Fujimoto et al.: https://arxiv.org/abs/1910.01708
#MachineLearning #ArtificialIntelligence #ReinforcementLearning
arXiv.org
Benchmarking Batch Deep Reinforcement Learning Algorithms
Widely-used deep reinforcement learning algorithms have been shown to fail in the batch setting--learning from a fixed data set without interaction with the environment. Following this result,...
To counteract phantom limbs, this work employs sensors and actuators, virtual reality and augmented reality, and deep learning to generate missing or dysfunctional limbs.
https://www.profillic.com/paper/arxiv:1910.01191
https://www.profillic.com/paper/arxiv:1910.01191
Profillic
Profillic: AI models, code & research to supercharge your projects
Explore state-of-the-art in machine learning, AI, and robotics research. Browse models, source code, papers by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language processing…
This awesome story for medical image processing from ETH Zürich #AI researchers needs to be told!
They used #artificialintelligence to improve quality of images recorded by a relatively new biomedical imaging method.
This paves the way towards more accurate #diagnosis and cost-effective devices.
How awesome is that!
Important note on optoacoustic tomography
————————————————————
They used #machinelearning method to improve optoacoustic imaging. This relatively young #medicalimaging technique can be used for applications such as visualizing blood vessels, studying brain activity, characterizing skin lesions and diagnosing breast cancer.
Paper is here: https://www.nature.com/articles/s42256-019-0095-3
Code: https://github.com/ndavoudi/sparse_artefact_unet
————————————————————
#tomography #deeplearning #healthinformatics #patientoutcomes #diagnostics Neda Davoudi
They used #artificialintelligence to improve quality of images recorded by a relatively new biomedical imaging method.
This paves the way towards more accurate #diagnosis and cost-effective devices.
How awesome is that!
Important note on optoacoustic tomography
————————————————————
They used #machinelearning method to improve optoacoustic imaging. This relatively young #medicalimaging technique can be used for applications such as visualizing blood vessels, studying brain activity, characterizing skin lesions and diagnosing breast cancer.
Paper is here: https://www.nature.com/articles/s42256-019-0095-3
Code: https://github.com/ndavoudi/sparse_artefact_unet
————————————————————
#tomography #deeplearning #healthinformatics #patientoutcomes #diagnostics Neda Davoudi
Nature
Deep learning optoacoustic tomography with sparse data
Nature Machine Intelligence - Optoacoustic imaging can achieve high spatial and temporal resolution but image quality is often compromised by suboptimal data acquisition. A new method employing...
VECTOR’S CHIEF SCIENTIFIC ADVISOR, DR. GEOFFREY HINTON, WINS THE HONDA PRIZE 2019
https://vectorinstitute.ai/2019/09/20/vectors-chief-scientific-advisor-dr-geoffrey-hinton-wins-the-honda-prize-2019/ join : https://t.iss.one/ArtificialIntelligenceArticles
https://vectorinstitute.ai/2019/09/20/vectors-chief-scientific-advisor-dr-geoffrey-hinton-wins-the-honda-prize-2019/ join : https://t.iss.one/ArtificialIntelligenceArticles
ArtificialIntelligenceArticles
VECTOR’S CHIEF SCIENTIFIC ADVISOR, DR. GEOFFREY HINTON, WINS THE HONDA PRIZE 2019 https://vectorinstitute.ai/2019/09/20/vectors-chief-scientific-advisor-dr-geoffrey-hinton-wins-the-honda-prize-2019/ join : https://t.iss.one/ArtificialIntelligenceArticles
Tech in T.O.: Why Geoffrey Hinton, the ‘Godfather of A.I.,’ decided to live in Toronto
https://globalnews.ca/news/5929564/geoffrey-hinton-artificial-intelligence-toronto/
https://t.iss.one/ArtificialIntelligenceArticles
https://globalnews.ca/news/5929564/geoffrey-hinton-artificial-intelligence-toronto/
https://t.iss.one/ArtificialIntelligenceArticles
Global News
Tech in T.O.: Why Geoffrey Hinton, the ‘Godfather of A.I.,’ decided to live in Toronto - Toronto | Globalnews.ca
Geoffrey Hinton is one of the most recognized leaders in computing science and artificial intelligence. His contribution to the technology industry in Toronto has drawn other tech leaders to the city.
Postdoc position in BioInformatics at Emory School of Medicine, Atlanta, USA
In its 2020 rankings of the best medical schools in the United States, U.S. News and World Report placed Emory University School of Medicine at #24 in research and #35 in primary care. The same publication also placed Emory at #22 for Clinical Medicine in its World Universities ranking of the same year. Times Higher Education World University Rankings placed the School of Medicine at #32 in the world for Clinical/Pre-clinical and Health in its 2019 rankings list.
Department of Biomedical Informatics at Emory School of Medicine is searching for a postdoctoral scholar. The Laboratory is led by Dr. Imon Banerjee (website), who is also affiliated with the Departments of Radiology and Biomedical Informatics at Emory University School of Medicine. The lab focuses on cutting‐edge research at the intersection of imaging science and biomedical informatics, developing and applying AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health (early detection and prediction of future disease).
The postdoctoral scholar will be working on two core research topics: (1) develop foundational AI methods for analyzing and extracting information from clinical texts; (2) develop clinical prediction models using multi-modal and longitudinal electronic medical records (EMR) data. The scholar will work closely with medical professionals to deploy and evaluate these methods as clinical applications to transform medical care.
Requirements:
Post-graduate degree (PhD or MD, completed or near completion) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field, with a background or interest in imaging
Experience in machine learning and AI, particularly in computer vision and natural language processing
Strong record of distinguished scholarly achievement
Outstanding communication and presentation skills with fluency in spoken and written English
Established record of distinguished scholarly achievement
Interested applicants should submit a Curriculum Vitae, a brief statement of research interests using this link: https://faculty-emory.icims.com/jobs/42390
In its 2020 rankings of the best medical schools in the United States, U.S. News and World Report placed Emory University School of Medicine at #24 in research and #35 in primary care. The same publication also placed Emory at #22 for Clinical Medicine in its World Universities ranking of the same year. Times Higher Education World University Rankings placed the School of Medicine at #32 in the world for Clinical/Pre-clinical and Health in its 2019 rankings list.
Department of Biomedical Informatics at Emory School of Medicine is searching for a postdoctoral scholar. The Laboratory is led by Dr. Imon Banerjee (website), who is also affiliated with the Departments of Radiology and Biomedical Informatics at Emory University School of Medicine. The lab focuses on cutting‐edge research at the intersection of imaging science and biomedical informatics, developing and applying AI methods to large amounts of medical data for biomedical discovery, precision medicine, and precision health (early detection and prediction of future disease).
The postdoctoral scholar will be working on two core research topics: (1) develop foundational AI methods for analyzing and extracting information from clinical texts; (2) develop clinical prediction models using multi-modal and longitudinal electronic medical records (EMR) data. The scholar will work closely with medical professionals to deploy and evaluate these methods as clinical applications to transform medical care.
Requirements:
Post-graduate degree (PhD or MD, completed or near completion) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field, with a background or interest in imaging
Experience in machine learning and AI, particularly in computer vision and natural language processing
Strong record of distinguished scholarly achievement
Outstanding communication and presentation skills with fluency in spoken and written English
Established record of distinguished scholarly achievement
Interested applicants should submit a Curriculum Vitae, a brief statement of research interests using this link: https://faculty-emory.icims.com/jobs/42390
Icims
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Welcome to the Careers Center for Emory. Please browse all of our available job and career opportunities. Apply to any positions you believe you are a fit for and contact us today!