Synthetic Data Generator for Adaptive Interventions in Global Health. - Aditya Rastogi; Juan Francisco Garamendi; Ana Fernández del Río; Anna Guitart; Moiz Hassan Khan; Dexian Tang; África Periáñez (CoRR, 2023)

Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke. - Gianluca Brugnara; Michael Baumgartner 001; Edwin D. Scholze; Katerina Deike-Hofmann; Klaus Kades; Jonas Scherer; Stefan Denner; Hagen Meredig; Aditya Rastogi; Mustafa A. Mahmutoglu; Christian Ulfert; Ulf Neuberger; et al. (Bildverarbeitung für die Medizin, 2024)

The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. - Maria Correia de Verdier; Rachit Saluja; Louis Gagnon; Dominic LaBella; Ujjwal Baid; Nourel Hoda Tahon; Martha Foltyn-Dumitru; Jikai Zhang; Maram Alafif; Saif Baig; Ken Chang; Gennaro D'Anna; et al. (CoRR, 2024)

Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings. - África Periáñez; Kathrin Schmitz; Lazola Makhupula; Moiz Hassan Khan; Moeti Moleko; Ana Fernández del Río; Ivan Nazarov; Aditya Rastogi; Dexian Tang (CoRR, 2024)

Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services. - Ana Fernández del Río; Michael Brennan Leong; Paulo Saraiva; Ivan Nazarov; Aditya Rastogi; Moiz Hassan; Dexian Tang; África Periáñez (CoRR, 2024)

Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx. - Ana Fernández del Río; Michael Brennan Leong; Paulo Saraiva; Ivan Nazarov; Aditya Rastogi; Moiz Hassan; Dexian Tang; África Periáñez (CoRR, 2024)

The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems. - África Periáñez; Ana Fernández del Río; Ivan Nazarov; Enric Jané; Moiz Hassan; Aditya Rastogi; Dexian Tang (CoRR, 2024)

Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review. - Luis M. Lopez-Ramos; Florian Leiser; Aditya Rastogi; Steven Hicks; Inga Strümke; Vince I. Madai; Tobias Budig; Ali Sunyaev; Adam Hilbert (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

DARSI: A deep auto-regressive time series inference architecture for forecasting of aerodynamic parameters. - Aayush Pandey; Jeevesh Mahajan; Srinag P.; Aditya Rastogi; Arnab Roy 012; Partha Pratim Chakraborty (J. Comput. Sci., 2024)

Digital Twins for Consumer Electronics. - Siva Sai; Aditya Rastogi; Vinay Chamola (IEEE Consumer Electron. Mag., 2024)

OHIF -SAM2: Accelerating Radiology Workflows with Meta Segment Anything Model 2. - Jaeyoung Cho; Aditya Rastogi; Jingyu Liu; Kai Schlamp; Philipp Vollmuth (ISBI, 2025)

From Restless to Contextual: A Thresholding Bandit Approach to Improve Finite-horizon Performance. - Jiamin Xu; Ivan Nazarov; Aditya Rastogi; África Periáñez; Kyra Gan (CoRR, 2025)