Suchismita Das

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Manifold Learning

Brain Tumor Segmentation

Dimensionality Reduction

Artificial Intelligence

Top Venues

Multim. Tools Appl.

Publications

Suchismita Das, Rajni Dubey, Biswajit Jena, Lung-Wen Tsai, Sanjay Saxena
WU-Net++: A novel enhanced Weighted U-Net++ model for brain tumor detection and segmentation from multi-parametric magnetic resonance scans. Multim. Tools Appl. 83 (28) (2024)
Tanujit Chakraborty, Shraddha M. Naik, Swarup Chattopadhyay, Suchismita Das
Learning Patterns from Biological Networks: A Compounded Burr Probability Model. CoRR (2024)
Suchismita Das, Subhankar Samanta, Minakhi Rout
Analysis of Pneumonia detection in X-ray images using different filters based Convolution Neural Networks. OCIT (2023)
Shrejal Singh, Minakhi Rout, Rohan Lana, Suchismita Das, Junali Jasmine Jena, Anuja Kumar Acharya
Machine Learning Approaches for Improving the Survival Prediction Rate in Heart Failure Patients. OCIT (2023)
Suchismita Das, Nikhil R. Pal
Feature selection simultaneously preserving both class and cluster structures. CoRR (2023)
Souma Kanti Paul, Sadia Riaz, Suchismita Das
Adoption of Artificial Intelligence in Supply Chain Risk Management: An Indian Perspective. J. Glob. Inf. Manag. 30 (8) (2022)
Suchismita Das, Nikhil R. Pal
Supervised learning of explicit maps with ability to correct distortions in the target output for manifold learning. Inf. Sci. 614 (2022)
Suchismita Das, Srijib Bose, Gopal Krishna Nayak, Suresh Chandra Satapathy, Sanjay Saxena
Brain tumor segmentation and overall survival period prediction in glioblastoma multiforme using radiomic features. Concurr. Comput. Pract. Exp. 34 (20) (2022)
Suchismita Das, Nikhil R. Pal
Understanding the Classes Better with Class-Specific and Rule-Specific Feature Selection, and Redundancy Control in a Fuzzy Rule Based Framework. IDEAL (2022)
Suchismita Das, Srijib Bose, Gopal Krishna Nayak, Sanjay Saxena
Deep learning-based ensemble model for brain tumor segmentation using multi-parametric MR scans. Open Comput. Sci. 12 (1) (2022)
Suchismita Das, Nikhil R. Pal
Understanding the classes better with class-specific and rule-specific feature selection, and redundancy control in a fuzzy rule based framework. CoRR (2022)
Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Uttam Kumar, J. Senthilnath
Searching for Heavy-Tailed Probability Distributions for Modeling Real-World Complex Networks. IEEE Access 10 (2022)
Suchismita Das, Nikhil R. Pal
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-Based Approach. IEEE Trans. Fuzzy Syst. 30 (7) (2022)
Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri, Sanjay Saxena
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review. Comput. Biol. Medicine 143 (2022)
Rahul Jain, Anoushka Sutradhar, Amiya K. Dash, Suchismita Das
Automatic Multi-organ Segmentation on Abdominal CT scans using Deep U-Net Model. OCIT (2021)
Suchismita Das, Nikhil R. Pal
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach. CoRR (2020)
Souma Kanti Paul, Sadia Riaz, Suchismita Das
Organizational Adoption of Artificial Intelligence in Supply Chain Risk Management. TDIT (1) (2020)
Suchismita Das, Nikhil R. Pal
An Unsupervised Fuzzy Rule-Based Method for Structure Preserving Dimensionality Reduction with Prediction Ability. AIAI (2019)