A typical research assistant who sucks at everything but still deeply passionate about ...stuff... IDK what I have passion in any more. Currently, I am mainly working in Deep Learning field, and Medical Image Processing.
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Akara Supratak, Siripra Kingchan, Phuriwat Angkoondittaphong, Poonsuta Nava-Apisak, Jitsupa Wongsripuemtet, Thanapon Noraset, Worapan Kusakunniran, Peter Haddawy, and Dittapong Songsaeng. Normal Pressure Hydrocephalus Classification using Weakly-Supervised Local Feature Extraction. Computers in Biology and Medicine 196 (2025): 110751. [Link]
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Dittapong Songsaeng, Poonsuta Nava-Apisak, Jittsupa Wongsripuemtet, Siripra Kingchan, Phuriwat Angkoondittaphong, Phattaranan Phawaphutanon, and Akara Supratak. The diagnostic accuracy of artificial intelligence in radiological markers of Normal-Pressure Hydrocephalus (NPH) on non-contrast CT scans of the brain. Diagnostics 13, no. 17 (2023): 2840. [Link]
- writting programs in Imperative Programming Languages (Python3, C, JavaScript, Bash).
- training Deep Learning Models (TensorFlow, PyTorch, Scikit-learn).
- using High Performance Computing Cluster efficiently (Slurm).
- writting Websites and Web APIs (Next.js, Express.js, Streamlit, Flask).
- Functional Programming.
- Category Theory.
- Deep Active Learning.
- Contrasive Learning.
- Optimization Theory.
- Federated Learning.
- Distributed Parallelized Training.
- Maximizing GPUs Utilization.