Koushik Biswas

According to our database, Koushik Biswas authored at least 31 papers between 2020 and 2024.

Collaborative distances:

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

2024

Transformer-Enhanced Iterative Feedback Mechanism for Polyp Segmentation.

Nikhil Kumar Tomar, Debesh Jha, Koushik Biswas, Tyler M. Berzin, Rajesh Keswani, Michael B. Wallace, Ulas Bagci

CoRR, 2024

PolypDB: A Curated Multi-Center Dataset for Development of AI Algorithms in Colonoscopy.

Debesh Jha, Nikhil Kumar Tomar, Vanshali Sharma, Quoc-Huy Trinh, Koushik Biswas, Hongyi Pan, Ritika Kumari Jha, Gorkem Durak, Alexander Hann, Jonas Varkey, Hang Viet Dao, Long Van Dao, Binh Phuc Nguyen, Khanh Cong Pham, Quang Trung Tran, Nikolaos Papachrysos, Brandon Rieders, Peter Thelin Schmidt, Enrik Geissler, Tyler M. Berzin, Pål Halvorsen, Michael A. Riegler, Thomas de Lange, Ulas Bagci

CoRR, 2024

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation.

Koushik Biswas, Ridal Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

CoRR, 2024

DCT-Based Decorrelated Attention for Vision Transformers.

Hongyi Pan, Emadeldeen Hamdan, Xin Zhu, Koushik Biswas, Ahmet Enis Çetin, Ulas Bagci

CoRR, 2024

Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions - A Systematic Review.

Md Shahin Ali, Md. Manjurul Ahsan, Lamia Tasnim, Sadia Afrin, Koushik Biswas, Md Maruf Hossain, Md Mahfuz Ahmed, Ronok Hashan, Md. Khairul Islam, Shivakumar Raman

CoRR, 2024

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation.

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

CoRR, 2024

PAM-UNet: Shifting Attention on Region of Interest in Medical Images.

Abhijit Das, Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang, Daniela P. Ladner, Yury Velichko, Amir Borhani, Ulas Bagci

CoRR, 2024

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.

Ziliang Hong, Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazici, Temel Tirkes, Amir Borhani, Baris Turkbey, Alpay Medetalibeyoglu, Gorkem Durak, Ulas Bagci

CoRR, 2024

Forecasting Formation of a Tropical Cyclone Using Reanalysis Data.

Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey

Adv. Artif. Intell. Mach. Learn., 2024

A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation.

Koushik Biswas, Ridam Pal, Shaswat Patel, Debesh Jha, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Practical and Ethical Considerations for Generative AI in Medical Imaging.

Debesh Jha, Ashish Rauniyar, Desta Haileselassie Hagos, Vanshali Sharma, Nikhil Kumar Tomar, Zheyuan Zhang, Ilkin Isler, Gorkem Durak, Michael B. Wallace, Cemal Yazici, Tyler M. Berzin, Koushik Biswas, Ulas Bagci

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Adaptive Smooth Activation Function for Improved Organ Segmentation and Disease Diagnosis.

Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Meghana Karri, Amit Reza, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

CT Liver Segmentation Via PVT-Based Encoding and Refined Decoding.

Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification.

Abhijit Das, Vandan Gorade, Debesh Jha, Koushik Biswas, Pethuru Raj, Ulas Bagci

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Will a tropical cyclone make landfall?

Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey

Neural Comput. Appl., March, 2023

Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans.

Koushik Biswas, Debesh Jha, Nikhil Kumar Tomar, Gorkem Durak, Alpay Medetalibeyoglu, Matthew Antalek, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci

CoRR, 2023

A Non-monotonic Smooth Activation Function.

Koushik Biswas, Meghana Karri, Ulas Bagci

CoRR, 2023

2022

SAU: Smooth Activation Function Using Convolution with Approximate Identities.

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

Proceedings of the Computer Vision - ECCV 2022, 2022

Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique.

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions.

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SMU: smooth activation function for deep networks using smoothing maximum technique.

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

CoRR, 2021

Tropical cyclone intensity estimations over the Indian ocean using Machine Learning.

Koushik Biswas, Sandeep Kumar, Ashish Kumar Pandey

CoRR, 2021

Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network.

Koushik Biswas, Sandeep Kumar, Ashish Kumar Pandey

CoRR, 2021

Orthogonal-Padé Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks.

Koushik Biswas, Shilpak Banerjee, Ashish Kumar Pandey

CoRR, 2021

TanhSoft - Dynamic Trainable Activation Functions for Faster Learning and Better Performance.

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

IEEE Access, 2021

Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data.

Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance.

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Track Prediction of Tropical Cyclones Using Long Short-Term Memory Network.

Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone.

Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

EIS - a family of activation functions combining Exponential, ISRU, and Softplus.

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

CoRR, 2020

TanhSoft - a family of activation functions combining Tanh and Softplus.

Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey

CoRR, 2020