Search Results for author: Arpan Tripathi

Found 4 papers, 2 papers with code

Towards a Holodeck-style Simulation Game

no code implementations22 Aug 2023 Ahad Shams, Douglas Summers-Stay, Arpan Tripathi, Vsevolod Metelsky, Alexandros Titonis, Karan Malhotra

We introduce Infinitia, a simulation game system that uses generative image and language models at play time to reshape all aspects of the setting and NPCs based on a short description from the player, in a way similar to how settings are created on the fictional Holodeck.

Unity

Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging

1 code implementation13 Sep 2021 Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jessica Knight, Jacob Jaremko, Yale Tung Chen, Kiran Vishnu Narayan, Kesavadas C

Also, on employing for classification of the given lung image into normal and abnormal classes, the proposed approach, even with no prior training, achieved an average accuracy of 97\% and an average F1-score of 95\% respectively on the task of co-classification with 3 fold cross-validation.

Learning the Imaging Landmarks: Unsupervised Key point Detection in Lung Ultrasound Videos

no code implementations13 Jun 2021 Arpan Tripathi, Mahesh Raveendranatha Panicker, Abhilash R Hareendranathan, Yale Tung Chen, Jacob L Jaremko, Kiran Vishnu Narayan, Kesavadas C

Lung ultrasound (LUS) is an increasingly popular diagnostic imaging modality for continuous and periodic monitoring of lung infection, given its advantages of non-invasiveness, non-ionizing nature, portability and easy disinfection.

Domain Specific Transporter Framework to Detect Fractures in Ultrasound

1 code implementation9 Jun 2021 Arpan Tripathi, Abhilash Rakkunedeth, Mahesh Raveendranatha Panicker, Jack Zhang, Naveenjyote Boora, Jacob Jaremko

Saliency of keypoints detected in the image\ are compared against manual assessment based on distance from relevant features. The transporter neural network was able to accurately detect 180 out of 250 bone regions sampled from wrist ultrasound videos.

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