Rishav Pramanik

National Institute of Technology Rourkela — India

Computer Science · Physical Sciences

12h-index559citations24works1.62yr avg
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Research Topics

AI in cancer detection(6), Advanced Image and Video Retrieval Techniques(4), Advanced Neural Network Applications(3), Medical Image Segmentation Techniques(2), Metaheuristic Optimization Algorithms Research(2)

Publications24 total

Al2O3–SiC–C castable for high performance and lower carbon footprint
Journal of Materials Science·2025
Rendering-Aware Reinforcement Learning for Vector Graphics Generation
arXiv (Cornell University)·2025Open Access
Distilling semantically aware orders for autoregressive image generation
arXiv (Cornell University)·2025Open Access
Masked Multi-Query Slot Attention for Unsupervised Object Discovery
2024· 1 cited
Masked Multi-Query Slot Attention for Unsupervised Object Discovery
arXiv (Cornell University)·2024Open Access
Wanet: weight and attention network for video summarization
Discover Artificial Intelligence·2024· 8 citedOpen Access
U-WOA: an unsupervised whale optimization algorithm based deep feature selection method for cancer detection in breast ultrasound images
Elsevier eBooks·2024· 4 cited
List of contributors
Elsevier eBooks·2024
DBU-Net: Dual branch U-Net for tumor segmentation in breast ultrasound images
PLoS ONE·2023· 16 citedOpen Access
Margin-Aware Adaptive-Weighted-Loss for Deep Learning Based Imbalanced Data Classification
IEEE Transactions on Artificial Intelligence·2023· 18 cited
MSENet: Mean and standard deviation based ensemble network for cervical cancer detection
Engineering Applications of Artificial Intelligence·2023· 19 cited
Monkeypox detection from skin lesion images using an amalgamation of CNN models aided with Beta function-based normalization scheme
PLoS ONE·2023· 66 citedOpen Access
Microstructural segmentation using a union of attention guided U-Net models with different color transformed images
Scientific Reports·2023· 36 citedOpen Access
Transformer-based deep reverse attention network for multi-sensory human activity recognition
Engineering Applications of Artificial Intelligence·2023· 28 cited
Late acceptance hill climbing aided chaotic harmony search for feature selection: An empirical analysis on medical data
Expert Systems with Applications·2023· 15 citedOpen Access
Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method
Expert Systems with Applications·2023· 75 cited
Contributors
Elsevier eBooks·2023
A brief overview of physics-inspired metaheuristics
Elsevier eBooks·2023· 12 cited
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Scientific Reports·2022· 34 citedOpen Access
An adaptive and altruistic PSO-based deep feature selection method for Pneumonia detection from Chest X-rays
Applied Soft Computing·2022· 59 citedOpen Access
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Frequent Co-authors

Ram Sarkar(14), Seyedali Mirjalili(5), Payel Pramanik(4), Marco Pedersoli(4), Anurup Naskar(3), Soumitri Chattopadhyay(3), Aritra Marik(3), Momojit Biswas(2), Shibaprasad Sen(2), Bihan Banerjee(2), Dmitrii Kaplun(2), Samir Malakar(2), José-Fabian Villa-Vásquez(2), Mohammed Azmi Al‐Betar(2), Mohammed A. Awadallah(2), Malik Braik(2), Serdar Ekinci(2), Farhad Soleimanian Gharehchopogh(2), Davut İzci(2), Muhammad Najeeb Khan(2)