Publications

List of research papers I published.

Note: You can also check out my Google Scholar profile to see the complete list of my publications

Conferences:

  1. Hritam Basak, Soumitri Chattopadhyay*, Rohit Kundu*, Sayan Nag*, Rammohan Mallipeddi, "IDEAL: Improved DEnse locAL Contrastive Learning for Semi-Supervised Medical Image Segmentation," 2023 International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2023).
    (*=equal contribution)
    PDF | Source Code | Project Page

  2. Sayan Nag*, Mayukh Bhattacharyya*, Anuraag Mukherjee*, Rohit Kundu*, "SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function," IEEE/CVF Winter Conference on Applications of Computer Vision, (WACV 2023).
    (*=equal contribution)
    PDF

  3. Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song, "Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches," IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022).
    PDF | Source Code

  4. Hritam Basak, Rohit Kundu, Anish Agarwal, Shreya Giri, "Single Image Super-Resolution using Residual Channel Attention Network," 2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS) (2021).
    PDF | Source Code

  5. Hritam Basak, Rohit Kundu, "Comparative Study of Maturation Profiles of Neural Cells in Different Species with the Help of Computer Vision and Deep Learning," Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2020, Communications in Computer and Information Science, Springer (2021).
    PDF | Source Code

Journals:

  1. Avinandan Banerjee, Sayantan Roy, Rohit Kundu, Pawan Kumar Singh, Vikrant Bhateja, Ram Sarkar, "An Ensemble Approach for Still Image-based Human Action Recognition," Neural Computing and Applications, Springer (2022).
    Source Code

  2. Rohit Kundu, Rammohan Mallipeddi, "HFMOEA: A Hybrid Framework for Multi-objective Feature Selection," Journal of Computational Design and Engineering, Oxford (2022).
    PDF | Source Code

  3. Hritam Basak, Rohit Kundu, Ram Sarkar, "MFSNet: A Multi Focus Segmentation Network for Skin Lesion Segmentation," Pattern Recognition, Elsevier (2022).
    PDF | Source Code

  4. Hritam Basak, Rohit Kundu, Pawan Kumar Singh, Muhammad Fazal Ijaz, Marcin Woźniak, Ram Sarkar, "A Union of Deep Learning and Swarm-based Optimization for 3D Human Action Recognition," Scientific Reports, Nature (2022).
    PDF | Source Code

  5. Rohit Kundu, Soham Chattopadhyay, Erik Cuevas, Ram Sarkar, "AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets," Computers in Biology and Medicine, Elsevier (2022).
    PDF | Source Code

  6. Rohit Kundu, Pawan Kumar Singh, Seyedali Mirjalili, Ram Sarkar, "COVID-19 Detection from Lung CT Images using a Fuzzy Integral-based CNN Ensemble," Computers in Biology and Medicine, Elsevier (2021).
    Source Code

  7. Soumitri Chattopadhyay, Rohit Kundu, Pawan Kumar Singh, Seyedali Mirjalili, Ram Sarkar, "Pneumonia Detection from Lung X-ray Images using Local Search Aided Sine Cosine Algorithm based Deep Feature Selection Method," International Journal of Intelligent Systems, Wiley (2021).
    Source Code

  8. Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva, Ram Sarkar, "Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm," Knowledge Based Systems, Elsevier (2021).
    PDF | Source Code

  9. Rohit Kundu, Ritacheta Das, Gi-Tae Han, Zong Woo Geem, Ram Sarkar, "Pneumonia Detection in Chest X-ray Images using an Ensemble of Deep Learning Models," PLoS One, Nature (2021).
    PDF | Source Code

  10. Rohit Kundu, Pawan Kumar Singh, Ali Ahmadian, Massimiliano Ferrera, Ram Sarkar, "ET-NET: An Ensemble of Transfer Learning Models for Prediction of COVID-19 Infection through Chest CT-scan Images," Multimedia Tools and Applications, Springer (2021).
    PDF | Source Code

  11. Ankur Manna, Rohit Kundu, Dmitrii Kaplun, Aleksandr Sinitca, Ram Sarkar, "A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical Cytology," Scientific Reports, Nature (2021).
    PDF | Source Code

  12. Rohit Kundu, Hritam Basak, Pawan Kumar Singh, Ali Ahmadian, Massimiliano Ferrera, Ram Sarkar, "Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans," Scientific Reports, Nature (2021).
    PDF | Source Code

  13. Hritam Basak, Rohit Kundu, Sukanta Chakraborty, Nibaran Das, "Cervical Cytology Classification Using PCA and GWO Enhanced Deep Features Selection," SN Computer Science, Springer (2021).
    PDF | Source Code

Book Chapters:

  1. Hritam Basak, Rohit Kundu, "Detection of Scoliosis from anteroposterior X-ray images," Assistive Technology Intervention in Healthcare, RC, Taylor & Francis Group, U.K.