Search Results - glenn+mcclure

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Convolutional Neural Networks for Organ Segmentation
Abstract: Accurate automated organ and disease feature segmentation is a challenge for medical imaging analysis. The pancreas, for example, is a small, soft, organ with low uniformity of shape and volume between patients. Because of the lack of uniform image patterns, there are few features that can be used to aid in automated identification of anatomy...
Published: 4/8/2024   |   Inventor(s): Holger Roth, Le Lu, Adam Harrison, Ronald Summers
Keywords(s): Computer Assisted Diagnostics, Computer Vision, Deep Learning, HNN, Holistically-Nested Convolutional Neural Network, Medical Imaging Informatics, National Institutes of Health Clinical Center, NIHCC
Category(s): Application > Software / Apps, Collaboration Sought > Licensing, Collaboration Sought > Collaboration
Convolutional Neural Networks for Organ Segmentation
Abstract: Accurate automated organ and disease feature segmentation is a challenge for medical imaging analysis. The pancreas, for example, is a small, soft, organ with low uniformity of shape and volume between patients. Because of the lack of uniform image patterns, there are few features that can be used to aid in automated identification of anatomy...
Published: 4/8/2024   |   Inventor(s): Le Lu, Holger Roth, Isabelle-Emmanu Nogues, Ronald Summers, Xiaosong Wang
Keywords(s): Computer Assisted Diagnostics, Computer Vision, Deep Learning, HNN, Holistically-Nested Convolutional Neural Network, Medical Imaging Informatics, National Institutes of Health Clinical Center, NIHCC
Category(s): Application > Software / Apps, Collaboration Sought > Licensing
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Abstract: Medical image datasets are an important clinical resource. Effectively referencing patient images against similar related images and case histories can inform and produce better treatment outcomes. Labeling and identifying disease features and relations between images within a large image database has not been a task capable of automation....
Published: 4/8/2024   |   Inventor(s): Hoo Chang Shin, Le Lu, Ronald Summers
Keywords(s): Chest X-Rays, CNN, Computer Assisted Diagnostics, Convolutional Neural Networks, Deep Learning Model, Disease Mining from Images, Radiology, Recurrent Neural Networks, RNN, Shin
Category(s): Application > Software / Apps, Collaboration Sought > Collaboration, Collaboration Sought > Licensing, TherapeuticArea > Oncology, TherapeuticArea > Cardiology
Progressive and Multipath Neural Network for Medical Image Segmentation
Abstract: The technology relates to software, systems, and methods for automated medical image segmentation via deep learning. Standard holistically-nested networks (HNNs) used in computer vision and medical imaging for segmentation and edge detection have a problem with coarsening resolution. The described technology addresses this.   Simple, progressive...
Published: 4/8/2024   |   Inventor(s): Adam Harrison, Ziyue Xu, Le Lu, Ronald Summers, Daniel Mollura
Keywords(s): Automated Medical Image, Coarsening Resolution, Computer Assisted Diagnostic, Deep Learning, Diagnostics, Holistically-nested networks (HNNs), Image Segmentation, Medical Imaging, Medical Imaging Processing, Segmentation
Category(s): Collaboration Sought > Collaboration, Application > Software / Apps, Collaboration Sought > Licensing
Method and System of Building Hospital-Scale Medical Image Database
Abstract: Developing computer systems that can recognize and locate image features associated with disease is a challenge for developing fully-automated and high precision computer assisted diagnostics. Joint learning of language tasks in association with vision tasks (association of image features with text annotation) adds an additional level of challenge. ...
Published: 4/8/2024   |   Inventor(s): Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald Summers
Keywords(s): Computer Assisted Diagnostics, Computer Vision, Deep Learning, Medical Imaging Informatics, National Institutes of Health Clinical Center, NIHCC, PACS, Picture Archiving and Communication Systems
Category(s): Collaboration Sought > Licensing, Application > Software / Apps
y-AApeptide-based long-acting pan-coronavirus fusion inhibitor with dual targets in spike protein and oral bioavailability
­Advantages: S-20-1 demonstrates potent inhibitory action, this broad-spectrum activity suggests that S-20-1 could be effective against a wide range of coronaviruses, making it a valuable candidate for pandemic preparedness and management. The research provides insights into the mechanism of action of S-20-1, demonstrating its ability to bind...
Published: 9/25/2023   |   Inventor(s): Jianfeng Cai, Shibo JIANG, Lu LU, Songyi XUE, Xinling WANG, Lei WANG, Wei XU, Shuai XIA
Keywords(s): Drug Discovery, Immunology
Category(s): Technology Classifications > Medical > Biotechnology
Data Sonification
An automated digital engine that translates numerical sequences into sound. Background: Sonification is an effective tool for trend analysis and anomaly detection that interprets large amounts of data and provide analysis through non-speech audio such as music. Through the NSF I-Corps National teams grant, the inventors are aiming to solve the problem...
Published: 5/1/2024   |   Inventor(s): Glenn McClure, Kirk Anne
Keywords(s): #SUNYresearch, Technologies
Category(s): Technology Classifications > Information Technology, Campus > SUNY Geneseo
Network-Coded Multiple Access
[Licensing negotiation in progress] [Invitation for Expression of Interest - Deadline: 16 June 2016] Systems and methods include a first wireless local area network (WLAN) system that jointly exploit physical-layer network coding (PNC) and multi-user decoding (MUD) to boost system throughput. This multiple access mode is referred to as Network-Coded...
Published: 1/29/2024   |   Inventor(s): Soung Chang Liew, Lu LU, Lizhao You
Keywords(s): Network Coding, Wireless Local Area Network
Category(s): Information and Communications Technology