Picture for Rangachar Kasturi

Rangachar Kasturi

Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment

Dec 03, 2020
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

Figure 1 for Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment

Figure 2 for Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment

Figure 3 for Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment

Figure 4 for Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment

* Accepted in Computers in Biology and Medicine, 2020

Access Paper or Ask Questions

First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain

Mar 24, 2020
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

Figure 1 for First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain

Figure 2 for First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain

Figure 3 for First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain

Figure 4 for First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain

* Accepted in the 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020)

Access Paper or Ask Questions

Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

Sep 05, 2019
Md Sirajus Salekin, Ghada Zamzmi, Rahul Paul, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

Figure 1 for Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

Figure 2 for Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

Figure 3 for Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

Figure 4 for Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound

* Accepted to IEEE HI-POCT 2019

Access Paper or Ask Questions

Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

Aug 25, 2019
Md Sirajus Salekin, Ghada Zamzmi, Dmitry Goldgof, Rangachar Kasturi, Thao Ho, Yu Sun

Figure 1 for Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

Figure 2 for Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

Figure 3 for Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

Figure 4 for Multi-Channel Neural Network for Assessing Neonatal Pain from Videos

* Accepted to IEEE SMC 2019

Access Paper or Ask Questions

Learning camera viewpoint using CNN to improve 3D body pose estimation

Sep 18, 2016
Mona Fathollahi Ghezelghieh, Rangachar Kasturi, Sudeep Sarkar

Figure 1 for Learning camera viewpoint using CNN to improve 3D body pose estimation

Figure 2 for Learning camera viewpoint using CNN to improve 3D body pose estimation

Figure 3 for Learning camera viewpoint using CNN to improve 3D body pose estimation

Figure 4 for Learning camera viewpoint using CNN to improve 3D body pose estimation

* To appear at the International Conference on 3D Vision (3DV), 2016

Access Paper or Ask Questions

Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network

Sep 10, 2016
Mona Fathollahi, Rangachar Kasturi

Figure 1 for Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network

Figure 2 for Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network

Figure 3 for Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network

Figure 4 for Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network

Access Paper or Ask Questions