Mohammod Suvon

Journal articles

• Tripathi PC, Tabakhi S, Suvon MNI, Schöb L, Alabed S, Swift AJ, Zhou S & Lu H (2026) Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. IEEE Transactions on Medical Imaging, 1-1.
• Tripathi P, Suvon M, Schobs L, Zhou S, Alabed S, Swift A & Lu H (2023) Tensor-based multimodal learning for prediction of pulmonary arterial wedge pressure from cardiac MRI. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, October 8-12, 2023, Proceedings, 14226. View this article in WRRO
• Tabakhi S, Suvon MNI, Ahadian P & Lu H (2023) Multimodal learning for multi-omics: a survey. World Scientific Annual Review of Artificial Intelligence, 1. View this article in WRRO
• Islam Suvon MN, Siam SC, Ferdous M, Alam M & Khan R (2022) Masters and Doctor of Philosophy admission prediction of Bangladeshi students into different classes of universities. IAES International Journal of Artificial Intelligence (IJ-AI), 11(4), 1545-1553.
• Noor F, Tanjim MR, Rahim MJ, Suvon MNI, Porna FK, Ahmed S, Kaioum MAA & Rahman RM (2021) Application of fuzzy logic on CT-scan images of COVID-19 patients. International Journal of Intelligent Information and Database Systems, 14(4), 333-333.
• Liu X, Zhang J, Zhou S, van der Plas TL, Vijayaraghavan A, Grishina A, Zhuang M, Schofield D, Tomlinson C, Wang Y , Li R et al () Towards deployment-centric multimodal AI beyond vision and language. Nature Machine Intelligence.

Book chapters

• Suvon MNI, Tripathi PC, Fan W, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ, Chen C & Lu H (2024) Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection, Lecture Notes in Computer Science (pp. 296-306). Springer Nature Switzerland

Conference proceedings

• Selvarajah D, Zhou S, Suvon MNI, Tesfaye S, Wild J, Segerdahl A, Steele D, Bennett D, Colvin L & Lu H (2025) AI- driven prediction of placebo and treatment responses in painful diabetic neuropathy. DIABETIC MEDICINE, Vol. 42
• Selvarajah D, Tripathi P, Teh K, Zhou S, Suvon MNI, Tesfaye S, Wild J, Bennett D, Segerdahl A, Steel D , Colvin L et al (2024) Leveraging artificial intelligence for predicting placebo vs treatment response in painful diabetic neuropathy. DIABETOLOGIA, Vol. 67 (pp S444-S444)
• Suvon MNI, Tripathi PC, Alabed S, Swift AJ & Lu H (2023) Multimodal learning for predicting mortality in patients with pulmonary arterial hypertension. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp 2704-2710). Las Vegas, NV, USA, 6 December 2022 - 6 December 2022. View this article in WRRO
• Alam MM, Suvon MNI & Khan R (2022) Social Distance Measurement and Face Mask Detection Using Deep Learning Models (pp 540-549)
• Iqbal A, Ahmed MF, Suvon MNI, Shuvho SD & Fahmin A (2021) Towards Efficient Segmentation and Classification of White Blood Cell Cancer Using Deep Learning. 2021 Emerging Technology in Computing, Communication and Electronics (ETCCE) (pp 1-6), 21 December 2021 - 23 December 2021.
• Mashroor F, Ishrak IF, Alvee SM, Jahan A, Islam Suvon MN & Siddique S (2021) Rice Paddy Disease Detection and Disease Affected Area Segmentation Using Convolutional Neural Networks. TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (pp 891-896), 7 December 2021 - 10 December 2021.
• Siam SC, Faisal A, Mahrab N, Haque AB & Suvon MNI (2021) Automated Student Review System with Computer Vision and Convolutional Neural Network. 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp 493-497), 19 February 2021 - 20 February 2021.
• Suvon MNI, Khan R & Ferdous M (2020) Real Time Bangla Number Plate Recognition using Computer Vision and Convolutional Neural Network. 2020 IEEE 2nd International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (pp 1-6), 26 September 2020 - 27 September 2020.

Preprints

• Liu X, Zhang J, Zhou S, van der Plas TL, Vijayaraghavan A, Grishina A, Zhuang M, Schofield D, Tomlinson C, Wang Y , Li R et al (2025) Towards deployment-centric multimodal AI beyond vision and language, arXiv.
• Suvon MNI, Zhou S, Tripathi PC, Fan W, Alabed S, Khanal B, Osmani V, Swift AJ, Chen , Chen & Lu H (2025) Multimodal Latent Fusion of ECG Leads for Early Assessment of Pulmonary Hypertension, arXiv.
• Suvon MNI, Tripathi PC, Fan W, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ, Chen C & Lu H (2024) Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection, arXiv.
• Fan W, Suvon MNI, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ, Chen C & Lu H (2024) MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment, arXiv.
• Tripathi PC, Suvon MNI, Schobs L, Zhou S, Alabed S, Swift AJ & Lu H (2023) Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI, arXiv.
• Tabakhi S, Suvon MNI, Ahadian P & Lu H (2022) Multimodal Learning for Multi-Omics: A Survey, arXiv.