PPG Signal Reconstruction Using Deep Convolutional Generative Adversarial Network. - Yuning Wang; Iman Azimi; Kianoosh Kazemi; Amir M. Rahmani; Pasi Liljeberg (EMBC, 2022)

Robust PPG Peak Detection Using Dilated Convolutional Neural Networks. - Kianoosh Kazemi; Juho Laitala; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (Sensors, 2022)

End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction. - Mohammad Feli; Kianoosh Kazemi; Iman Azimi; Yuning Wang; Amir M. Rahmani; Pasi Liljeberg (BIBM, 2023)

Can Sleep Quality Attributes be Predicted from Physical Activity in Everyday Settings? - Kianoosh Kazemi; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (EMBC, 2023)

Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU. - Kianoosh Kazemi; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (ICBRA, 2023)

Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach. - Kianoosh Kazemi; Iina Ryhtä; Iman Azimi; Hannakaisa Niela-Vilén; Anna Axelin; Amir M. Rahmani; Pasi Liljeberg (EMBC, 2024)

Improved sleep stage predictions by deep learning of photoplethysmogram and respiration patterns. - Kianoosh Kazemi; Arash Abiri; Yongxiao Zhou; Amir M. Rahmani; Rami N. Khayat; Pasi Liljeberg; Michelle Khine (Comput. Biol. Medicine, 2024)

Multitask learning approach for PPG applications: Case studies on signal quality assessment and physiological parameters estimation. - Mohammad Feli; Kianoosh Kazemi; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (Comput. Biol. Medicine, 2025)

Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach. - Kianoosh Kazemi; Iman Azimi; Michelle Khine; Rami N. Khayat; Amir M. Rahmani; Pasi Liljeberg (CoRR, 2025)

TransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis. - Ziyu Wang; Elahe Khatibi; Kianoosh Kazemi; Iman Azimi; Sanaz R. Mousavi; Shaista Malik; Amir M. Rahmani (CoRR, 2025)

Respiration Rate Estimation via Smartwatch-based Photoplethysmography and Accelerometer Data: A Transfer Learning Approach. - Kianoosh Kazemi; Iman Azimi; Pasi Liljeberg; Amir M. Rahmani (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)