MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging

no code implementations • 5 May 2024 • Chaojie Zhang, Shengjia Chen, Ozkan Cigdem, Haresh Rengaraj Rajamohan, Kyunghyun Cho, Richard Kijowski, Cem M. Deniz

A transformer-based deep learning model, MR-Transformer, was developed for total knee replacement (TKR) prediction using magnetic resonance imaging (MRI).

Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution

1 code implementation • 3 Nov 2021 • Aakash Kaku, Kangning Liu, Avinash Parnandi, Haresh Rengaraj Rajamohan, Kannan Venkataramanan, Anita Venkatesan, Audre Wirtanen, Natasha Pandit, Heidi Schambra, Carlos Fernandez-Granda

To address this, we propose a novel approach for high-resolution action identification, inspired by speech-recognition techniques, which is based on a sequence-to-sequence model that directly predicts the sequence of actions.

Action Recognition speech-recognition +2

Emotion Recognition from Speech

2 code implementations • 22 Dec 2019 • Kannan Venkataramanan, Haresh Rengaraj Rajamohan

In this work, we conduct an extensive comparison of various approaches to speech based emotion recognition systems.

Emotion Classification Emotion Recognition +1