Anirvan Dutta

According to our database, Anirvan Dutta authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Push to Know! - Visuo-Tactile Based Active Object Parameter Inference with Dual Differentiable Filtering.

Anirvan Dutta, Etienne Burdet, Mohsen Kaboli

IROS, 2023

2022

Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter.

Prajval Kumar Murali, Anirvan Dutta, Michael Gentner, Etienne Burdet, Ravinder Dahiya, Mohsen Kaboli

IEEE Robotics Autom. Lett., 2022

2019

Sensorless full body active compliance in a 6 DOF parallel manipulator.

Anirvan Dutta, Durgesh Haribhau Salunkhe, Shivesh Kumar, Arun Dayal Udai, Suril Vijaykumar Shah

Robotics Comput. Integr. Manuf., 2019

2017

Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer.

Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, Niranjan Khandelwal

J. Digit. Imaging, 2017

Force/Position Control of 3 DOF Delta Manipulator with Voice Coil Actuator.

Arun Dayal Udai, Durgesh Haribhau Salunkhe, Anirvan Dutta, Sudipto Mukherjee

Proceedings of the Advances in Robotics, 2017

2016

A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images.

Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, Niranjan Khandelwal

J. Digit. Imaging, 2016

An automated lung nodule detection system for CT images using synthetic minority oversampling.

Shrikant A. Mehre, Sudipta Mukhopadhyay, Anirvan Dutta, Nagam Chaithan Harsha, Ashis Kumar Dhara, Niranjan Khandelwal

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Classification of pulmonary nodules in lung CT images using shape and texture features.

Ashis Kumar Dhara, Sudipta Mukhopadhyay, Anirvan Dutta, Mandeep Garg, Niranjan Khandelwal, Prafulla Kumar

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016