Suchismita Das

According to our database, Suchismita Das authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans.

Suchismita Das, Rajni Dubey, Biswajit Jena, Lung-Wen Tsai, Sanjay Saxena

Multim. Tools Appl., August, 2024

Learning Patterns from Biological Networks: A Compounded Burr Probability Model.

Tanujit Chakraborty, Shraddha M. Naik, Swarup Chattopadhyay, Suchismita Das

CoRR, 2024

2023

Feature selection simultaneously preserving both class and cluster structures.

Suchismita Das, Nikhil R. Pal

CoRR, 2023

Machine Learning Approaches for Improving the Survival Prediction Rate in Heart Failure Patients.

Shrejal Singh, Minakhi Rout, Rohan Lana, Suchismita Das, Junali Jasmine Jena, Anuja Kumar Acharya

Proceedings of the OITS International Conference on Information Technology, 2023

Analysis of Pneumonia detection in X-ray images using different filters based Convolution Neural Networks.

Suchismita Das, Subhankar Samanta, Minakhi Rout

Proceedings of the OITS International Conference on Information Technology, 2023

2022

Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-Based Approach.

Suchismita Das, Nikhil R. Pal

IEEE Trans. Fuzzy Syst., 2022

Adoption of Artificial Intelligence in Supply Chain Risk Management: An Indian Perspective.

Souma Kanti Paul, Sadia Riaz, Suchismita Das

J. Glob. Inf. Manag., 2022

Supervised learning of explicit maps with ability to correct distortions in the target output for manifold learning.

Suchismita Das, Nikhil R. Pal

Inf. Sci., 2022

Brain tumor segmentation and overall survival period prediction in glioblastoma multiforme using radiomic features.

Suchismita Das, Srijib Bose, Gopal Krishna Nayak, Suresh Chandra Satapathy, Sanjay Saxena

Concurr. Comput. Pract. Exp., 2022

Deep learning-based ensemble model for brain tumor segmentation using multi-parametric MR scans.

Suchismita Das, Srijib Bose, Gopal Krishna Nayak, Sanjay Saxena

Open Comput. Sci., 2022

An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review.

Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri, Sanjay Saxena

Comput. Biol. Medicine, 2022

Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks.

Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar, J. Senthilnath

IEEE Access, 2022

Understanding the Classes Better with Class-Specific and Rule-Specific Feature Selection, and Redundancy Control in a Fuzzy Rule Based Framework.

Suchismita Das, Nikhil R. Pal

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

Automatic Multi-organ Segmentation on Abdominal CT scans using Deep U-Net Model.

Rahul Jain, Anoushka Sutradhar, Amiya K. Dash, Suchismita Das

Proceedings of the 19th OITS International Conference on Information Technology, 2021

2020

Organizational Adoption of Artificial Intelligence in Supply Chain Risk Management.

Souma Kanti Paul, Sadia Riaz, Suchismita Das

Proceedings of the Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation, 2020

2019

An Unsupervised Fuzzy Rule-Based Method for Structure Preserving Dimensionality Reduction with Prediction Ability.

Suchismita Das, Nikhil R. Pal

Proceedings of the Artificial Intelligence Applications and Innovations, 2019