Zishen Li, Bishal Lamichhane, Ankit Patel, Ramiro Salas, Nidal Moukaddam, and Ashutosh S (2024), Predicting Sensation-Seeking from Resting-State fMRI: The Need for Age-Specific Models, IEEE BHI 2024.
Lamichhane, B., Moukaddam, N., & Sabharwal, A. (2024). Mobile sensing-based depression severity assessment in participants with heterogeneous mental health conditions. Scientific Reports, 14(1), 2024
Moukaddam, N., Lamichhane, B., Salas, R., Goodman, W., & Sabharwal, A. (2023). Modeling suicidality with multimodal impulsivity characterization in participants with mental health disorder. Behavioural neurology, 2023(1), 8552180.
Barati, C. N., Lamichhane, B., Liao, S., Graves, E., Swami, A., & Sabharwal, A. (2023, May). Unsupervised Wireless Diarization: A Potential New Attack on Encrypted Wireless Networks. In ICC 2023-IEEE International Conference on Communications (pp. 2312-2318). IEEE.
Lamichhane, Bishal, Joanne Zhou, and Akane Sano. "Psychotic relapse prediction in schizophrenia patients using a personalized mobile sensing-based supervised deep learning model." IEEE Journal of Biomedical and Health Informatics 27, no. 7 (2023): 3246-3257.
Lamichhane, Bishal, Joanne Zhou, and Akane Sano. "Psychotic relapse prediction in schizophrenia patients using a personalized mobile sensing-based supervised deep learning model." IEEE Journal of Biomedical and Health Informatics 27, no. 7 (2023): 3246-3257.
Lamichhane, B. (2023). Evaluation of chatgpt for nlp-based mental health applications. arXiv preprint arXiv:2303.15727.
Lamichhane, B., Nemati, E., Ahmed, T., Rahman, M., Kuang, J., & Gao, A. (2022, September). A Template Matching Based Cough Detection Algorithm Using IMU Data From Earbuds. In 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 01-04). IEEE.
Lamichhane, Bishal, Nidal Moukaddam, Ankit B. Patel, and Ashutosh Sabharwal. "Dyadic interaction assessment from free-living audio for depression severity assessment." arXiv preprint arXiv:2209.03901 (2022).
Lamichhane, B., & Neupane, N. (2022). Improved Healthcare Access in Low-resource Regions: A Review of Technological Solutions. arXiv preprint arXiv:2205.10913.
Lamichhane, B., Moukaddam, N., Patel, A. B., & Sabharwal, A. (2022). ECoNet: Estimating Everyday Conversational Network From Free-Living Audio for Mental Health Applications. IEEE Pervasive Computing, 21(2), 32-40.
Zhou, J., Lamichhane, B., Ben-Zeev, D., Campbell, A., & Sano, A. (2022). Predicting psychotic relapse in schizophrenia with mobile sensor data: routine cluster analysis. JMIR mHealth and uHealth, 10(4), e31006.
Lamichhane, B., Ben-Zeev, D., Campbell, A., Choudhury, T., Hauser, M., Kane, J., ... & Sano, A. (2021). Patient-independent schizophrenia relapse prediction using mobile sensor based daily behavioral rhythm changes. In Wireless Mobile Communication and Healthcare: 9th EAI International Conference, MobiHealth 2020, Virtual Event, November 19, 2020, Proceedings 9 (pp. 18-33). Springer International Publishing.
Lamichhane, B., Kim, Y., Segarra, S., Zhang, G., Lhatoo, S., Hampson, J., & Jiang, X. (2020). Automated detection of activity onset after postictal generalized EEG suppression. BMC Medical Informatics and Decision Making, 20, 1-10.
Zavala-Mondragon, L. A., Lamichhane, B., Zhang, L., & Haan, G. D. (2020). CNN-SkelPose: a CNN-based skeleton estimation algorithm for clinical applications. Journal of Ambient Intelligence and Humanized Computing, 11(6), 2369-2380.
Lamichhane, B., Großekathöfer, U., Schiavone, G., & Casale, P. (2017). Towards stress detection in real-life scenarios using wearable sensors: normalization factor to reduce variability in stress physiology. In eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers (pp. 259-270). Springer International Publishing.
Schiavone, G., Lamichhane, B., & Van Hoof, C. (2017). The Double Layer Methodology and the Validation of Eigenbehavior Techniques Applied to Lifestyle Modeling. BioMed Research International, 2017(1), 4593956.
Smets, E., Casale, P., Großekathöfer, U., Lamichhane, B., De Raedt, W., Bogaerts, K., ... & Van Hoof, C. (2016). Comparison of machine learning techniques for psychophysiological stress detection. In Pervasive Computing Paradigms for Mental Health: 5th International Conference, MindCare 2015, Milan, Italy, September 24-25, 2015, Revised Selected Papers 5 (pp. 13-22). Springer International Publishing.
Atallah, L., Bongers, E., Lamichhane, B., & Bambang-Oetomo, S. (2014). Unobtrusive monitoring of neonatal brain temperature using a zero-heat-flux sensor matrix. IEEE Journal of Biomedical and Health Informatics, 20(1), 100-107.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California