TanhSoft - a family of activation functions combining Tanh and Softplus. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (CoRR, 2020)

EIS - a family of activation functions combining Exponential, ISRU, and Softplus. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (CoRR, 2020)

Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone. - Sandeep Kumar 002; Koushik Biswas; Ashish Kumar Pandey (AAAI, 2021)

Track Prediction of Tropical Cyclones Using Long Short-Term Memory Network. - Sandeep Kumar 002; Koushik Biswas; Ashish Kumar Pandey (CCWC, 2021)

EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (ICANN (2), 2021)

Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data. - Sandeep Kumar 002; Koushik Biswas; Ashish Kumar Pandey (ICANN (4), 2021)

TanhSoft - Dynamic Trainable Activation Functions for Faster Learning and Better Performance. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (IEEE Access, 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)

Intensity Prediction of Tropical Cyclones using Long Short-Term Memory Network. - Koushik Biswas; Sandeep Kumar 002; Ashish Kumar Pandey (CoRR, 2021)

Tropical cyclone intensity estimations over the Indian ocean using Machine Learning. - Koushik Biswas; Sandeep Kumar 002; Ashish Kumar Pandey (CoRR, 2021)

SMU: smooth activation function for deep networks using smoothing maximum technique. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (CoRR, 2021)

ErfAct and Pserf: Non-monotonic Smooth Trainable Activation Functions. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (AAAI, 2022)

Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (CVPR, 2022)

SAU: Smooth Activation Function Using Convolution with Approximate Identities. - Koushik Biswas; Sandeep Kumar 002; Shilpak Banerjee; Ashish Kumar Pandey (ECCV (21), 2022)

A Non-monotonic Smooth Activation Function. - Koushik Biswas; Meghana Karri; Ulas Bagci (CoRR, 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)

Will a tropical cyclone make landfall? - Sandeep Kumar 002; Koushik Biswas; Ashish Kumar Pandey (Neural Comput. Appl., 2023)

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 (EMBC, 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 (EMBC, 2024)

TransRUPNet for Improved Polyp Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Debayan Bhattacharya; Koushik Biswas; Ulas Bagci (EMBC, 2024)

ProFONet: Prototypical Feature Space Optimized Network for Few Shot Classification. - Abhijit Das; Vandan Gorade; Debesh Jha; Koushik Biswas; Pethuru Raj 001; Ulas Bagci (ICPR (7), 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 (ISBI, 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 (MICCAI (9), 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; et al. (FAIMI/EPIMI@MICCAI, 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; et al. (MLMI@MICCAI (1), 2024)

Forecasting Formation of a Tropical Cyclone Using Reanalysis Data. - Sandeep Kumar 002; Koushik Biswas; Ashish Kumar Pandey (Adv. Artif. Intell. Mach. Learn., 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 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Yury Velichko; Daniela P. Ladner; et al. (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)

DCT-Based Decorrelated Attention for Vision Transformers. - Hongyi Pan; Emadeldeen Hamdan; Xin Zhu 005; Koushik Biswas; Ahmet Enis Çetin; 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; et al. (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; et al. (CoRR, 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)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Matthew Antalek; Zheyuan Zhang; Bin Wang 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Vandan Gorade; Abhijit Das; et al. (ICASSP, 2025)

Frequency-Based Federated Domain Generalization for Polyp Segmentation. - Hongyi Pan; Debesh Jha; Koushik Biswas; Ulas Bagci (ICASSP, 2025)

Transformer-Enhanced Iterative Feedback Mechanism For Polyp Segmentation. - Nikhil Kumar Tomar; Debesh Jha; Koushik Biswas; Ulas Bagci (ICASSP, 2025)

Is Long Range Sequential Modeling Necessary for Colorectal Tumor Segmentation? - Abhishek Srivastava; Koushik Biswas; Gorkem Durak; Gulsah Ozden; Mustafa Adli; Ulas Bagci (ISBI, 2025)

Optimizing Neural Network Effectiveness via Non-monotonicity Refinement. - Koushik Biswas; Amit Reza; Meghana Karri; Debesh Jha; Hongyi Pan; Nikhil Kumar Tomar; Aliza Subedi; Smriti Regmi; Ulas Bagci (WACV, 2025)

Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-Supervised Medical Image Segmentation. - Meghana Karri; Amit Soni Arya; Koushik Biswas; Nicolo Gennaro; Vedat Cicek; Gorkem Durak; Yuri S. Velichko; Ulas Bagci (WACV, 2025)

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients. - Wanying Dou; Gorkem Durak; Koushik Biswas; Ziliang Hong; Andrea Mia Bejar; Elif Keles; Kaan Akin; Sukru Mehmet Erturk; Alpay Medetalibeyoglu; Marc Sala; Alexander Misharin; Hatice Savas; et al. (CoRR, 2025)

Hyperspectral Image Land Cover Captioning Dataset for Vision Language Models. - Aryan Das; Tanishq Rachamalla; Pravendra Singh; Koushik Biswas; Vinay Kumar Verma; Swalpa Kumar Roy (CoRR, 2025)