Siemens Healthcare Gmbh

Seagate Technology Incorporated

Komag Corporation

Wen Hong Liu

Bogdan Georgescu

Dorin Comaniciu

Shaohua Kevin Zhou

Tommaso Mansi

Dominik Neumann

Florin Cristian Ghesu

Tsutomu Tom Yamashita

Yefeng Zheng

Ching Jackie Tsoi

Shigeto Hashimoto

Eric Woo Hock Yong

JiPing Yang

Bruce Lairson

Qian Guo

Jingyuan Zhuo

Yu Lu

Michael Joseph Stirniman

Jing Gui

Jianwei Liu

Tu Chen

Chung Yuang Shih

Taesun Ernest Kim

Francisco Pereira

Yao-Tzung Roger Shih

Bruce Jairson

Gang Peng

Ashutosh Modi

Fluoropolyether compounds that can be used as a lubricant, such as for magnetic recording media. The compounds have a terminal group that includes a phenol or benzene. The fluoropolyether compounds reduce the head to media distance while keeping comparable reliability in a hard disk drive compared to current industrial widely used fluoropolyether based lubricants.

Fluoropolyether compound and lubricant

Intelligent multi-scale image parsing determines the optimal size of each observation by an artificial agent at a given point in time while searching for the anatomical landmark. The artificial agent begins searching image data with a coarse field-of-view and iteratively decreases the field-of-view to locate the anatomical landmark. After searching at a coarse field-of view, the artificial agent increases resolution to a finer field-of-view to analyze context and appearance factors to converge on the anatomical landmark. The artificial agent determines applicable context and appearance factors at each effective scale.

Intelligent multi-scale medical image landmark detection

Provided herein is a lubricant comprising a compound of Formula I: 

Polyfluoro lubricant compositions

Intelligent image parsing for anatomical landmarks and/or organs detection and/or segmentation is provided. A state space of an artificial agent is specified for discrete portions of a test image. A set of actions is determined, each specifying a possible change in a parametric space with respect to the test image. A reward system is established based on applying each action of the set of actions and based on at least one target state. The artificial agent learns an optimal action-value function approximator specifying the behavior of the artificial agent to maximize a cumulative future reward value of the reward system. The behavior of the artificial agent is a sequence of actions moving the agent towards at least one target state. The learned artificial agent is applied on a test image to automatically parse image content.

Intelligent medical image landmark detection

A computer-implemented method for predicting answers to questions concerning medical image analytics reports includes splitting a medical image analytics report into a plurality of sentences and generating a plurality of sentence embedding vectors by applying a natural language processing framework to the plurality of sentences. A question related to subject matter included in the medical image analytics report is received and a question embedding vector is generated by applying the natural language processing framework to the question. A subset of the sentence embedding vectors most similar to the question embedding vector is identified by applying a similarity matching process to the sentence embedding vectors and the question embedding vector. A trained recurrent neural network (RNN) is used to determine a predicted answer to the question based on the subset of the sentence embedding vectors.

Image analytics question answering

A method for making a magnetic disk comprises forming first and second protective carbon layers on a magnetic layer. The first protective carbon layer is predominantly SP3 carbon. The second protective carbon layer comprises about 50% or less SP3 carbon. The second protective carbon layer is very thin, e.g. between 0.1 and 1.0 nm thick. A lubricant layer (e.g. a perfluoropolyether lubricant) is applied to the second protective carbon layer. The second protective carbon layer facilitates improved cooperation between lubricant and the disk.

Magnetic disk comprising a first carbon overcoat having a high SP3 content and a second carbon overcoat having a low SP3 content

Ultra-thin, corrosion resistant, hydrogenated carbon overcoats by combined sputtering and PECVD

Method for improving performance of thin film recording media and media obtained thereby

Sputtering method for producing amorphous hydrogenated carbon thin films with high sp.sup.3 content. By sputtering the carbon with a pulsed DC power supply having high voltage peaks, a carbon film with remarkably high sp.sup.3 bonding fraction can be obtained. Previously, carbon films with a very high sp.sup.3 fraction film with content as high (e.g. as 80%) could only be produced by methods such as filtered cathodic arc deposition or chemical vapor deposition methods (CVD) such as plasma-enhanced chemical vapor deposition (PE-CVD) and ion-beam deposition operating at some narrowly defined range of deposition conditions. It is very advantageous to use sputtering to create a high sp.sup.3 content film, since sputtering is more manufacturable and has higher productivity compared to CVD or ion-beam deposition methods. The resultant carbon film has excellent durability and corrosion resistance capability down to very low thickness. Also compared to PE-CVD and ion-beam deposition, the new sputtering process produce much less particles and the process can be run on a manufacturing tool for much longer time, thereby increasing the productivity of the machine, and providing disks with higher quality.

Method of sputtering a carbon protective film on a magnetic disk with

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San Jose, CA, United States of America

Wen Hong Liu