Ho-min Park

Ho-min Park

Postdoctoral Researcher Biomedical & Biological AI

Publications

Google Scholar Statistics

Total Citations: 295 | h-index: 10 | i10-index: 10

(as of May 12, 2026)

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Journal Articles

  1. Tozzi, F., Park, H. M., Mousavi, S. A., Van Liefferinge, M., Moon, D., Fadaei, S., et al. (2026). Multimodal machine learning for staging laparoscopy: a combined image analysis and morphologic tool for the discrimination of peritoneal metastasis. International Journal of Surgery, 112(1): 373-383. [1 citation]

  2. Tozzi, F., Mousavi, S. A., Van Liefferinge, M., Moon, D., Park, H., Fadaei, S., et al. (2024). Development of a video-based deep learning model for differentiation of malignant and benign lesions during staging laparoscopy: Is the machine better than the expert? Journal of Clinical Oncology, 42(16_suppl): e13616. [1 citation]

  3. Tozzi, F., Park, H. M., Moon, D., Mousavi, S. A., Van Liefferinge, M., Fadaei, S., et al. (2024). Machine learning models for classification and morphological assessment of peritoneal lesions during staging laparoscopy. European Journal of Surgical Oncology, 50.

  4. Lee, H., Ozbulak, U., Park, H., Depuydt, S., De Neve, W., & Vankerschaver, J. (2024). Assessing the reliability of point mutation as data augmentation for deep learning with genomic data. BMC Bioinformatics, 25(1): 170. [11 citations]

  5. Park, H. (first author), Kim, G., Oh, J., Van Messem, A., & De Neve, W. (2024). Interpreting stress detection models using SHAP and attention for MuSe-Stress 2022. IEEE Transactions on Affective Computing, 15(01): 1-17. DOI [9 citations]

  6. Ozbulak, U., Lee, H. J., Boga, B., Anzaku, E. T., Park, H., Van Messem, A., et al. (2023). Know your self-supervised learning: A survey on image-based generative and discriminative training. Transactions on Machine Learning Research (TMLR). [71 citations]

  7. Park, H. (first author), Won, J., Park, Y., Anzaku, E. T., Vankerschaver, J., Van Messem, A., De Neve, W., & Shim, H. (2023). CRISPR-Cas-Docker: Web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins. BMC Bioinformatics, 24(1): 167. DOI [5 citations]

  8. Park, H. (first author), Park, Y., Berani, U., Bang, E., Vankerschaver, J., Van Messem, A., De Neve, W., & Shim, H. (2022). In silico optimization of RNA-protein interactions for CRISPR-Cas13-based antimicrobials. Biology Direct, 17(1). DOI [13 citations]

  9. Park, H. M. (first author), Park, Y., Vankerschaver, J., Van Messem, A., De Neve, W., & Shim, H. (2022). Rethinking protein drug design with highly accurate structure prediction of anti-CRISPR proteins. Pharmaceuticals, 15(3): 310. DOI [25 citations]

  10. Park, H. (first author), Park, S., de Guzman, M. K., Baek, J. Y., Cirkovic Velickovic, T., Van Messem, A., & De Neve, W. (2022). MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams. PLoS ONE, 17(6): e0269449. DOI [32 citations]

Conference Articles

  1. Nguyen, K. T., Park, H., Oh, G., Vankerschaver, J., & De Neve, W. (2025). Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability. IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 1-5. [5 citations]

  2. Singh, A. K., Kim, G., Kim, J., Park, H., Choi, B. J., & De Neve, W. (2025). RAMM: A Residual Attention Multimodal Model for Humor Detection. International Conference on Intelligent Human Computer Interaction, 229-240. [3 citations]

  3. Mousavi, S. A., Tozzi, F., Park, H., Anzaku, E. T., Van Liefferinge, M., Rashidian, N., et al. (2024). A Reference-Based Approach for Tumor Size Estimation in Monocular Laparoscopic Videos. International Workshop on Computational Mathematics Modeling in Cancer. Springer. [2 citations]

  4. Park, H. (first author), Yun, I., Kim, M., Nguyen, K. T., Van Messem, A., & De Neve, W. (2024). Interpretable Rotator Cuff Tear Diagnosis Using MRI Slides with CAMscore and SHAP. Medical Imaging 2024: Computer-Aided Diagnosis, Vol. 12927: 683-693. SPIE.

  5. Singh, A. K., Kim, G., Kim, J., Park, H., Choi, B. J., & De Neve, W. (2024). Exploring Multimodal Approaches and Fusion Methods for CEO Social Attribute Prediction in 2024 MuSe-Perception. Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop, 36-44. ACM. DOI [2 citations]

  6. Park, H. M. (first author), Kim, G., Van Messem, A., & De Neve, W. (2023). MuSe-Personalization 2023: Feature engineering, hyperparameter optimization, and transformer-encoder re-discovery. Proceedings of the 4th Multimodal Sentiment Analysis Challenge and Workshop, 89-97. ACM. DOI [5 citations]

  7. Park, H. (first author), Yun, I., Kumar, A., Singh, A. K., Choi, B. J., Singh, D., & De Neve, W. (2022). Towards multimodal prediction of time-continuous emotion using pose feature engineering and a transformer encoder. Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge, 47-54. DOI [13 citations]

  8. Kang, H., Park, H., Ahn, Y., Van Messem, A., & De Neve, W. (2021). Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis. Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, Vol. 11599. SPIE. DOI [18 citations]

  9. Park, H. (first author), Kang, B., Van Messem, A., & De Neve, W. (2021). 3-D deep learning-based item classification for belt conveyors targeting packaging and logistics. Pattern Recognition, ICPR International Workshops and Challenges, Part VI, 12666: 578-591. Springer. DOI [2 citations]

  10. Baek, J. Y., de Guzman, M. K., Park, H., Park, S., Shin, B., Cirkovic Velickovic, T., Van Messem, A., & De Neve, W. (2021). Developing a segmentation model for microscopic images of microplastics isolated from clams. Pattern Recognition, ICPR International Workshops and Challenges, Part VI, 12666: 86-97. Springer. DOI [4 citations]

  11. Kim, M., Park, H., Kim, J. Y., Kim, S. H., Hoeke, S., & De Neve, W. (2020). MRI-based diagnosis of rotator cuff tears using deep learning and weighted linear combinations. Machine Learning for Healthcare Conference (MLHC), 292-308. [19 citations]

  12. Park, H. (first author), Van Messem, A., & De Neve, W. (2020). Item measurement for logistics-oriented belt conveyor systems using a scenario-driven approach and automata-based control design. IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA). [8 citations]

  13. Park, H. M. (first author), Van Messem, A., & De Neve, W. (2019). Box-Scan: An efficient and effective algorithm for box dimension measurement in conveyor systems using a single RGB-D camera. The 7th IIAE International Conference on Industrial Application Engineering. [16 citations] [Best Presentation Award]

Patents

  1. Park, H., & De Neve, W. (2020). An apparatus and method for measuring the size of high-speed objects and classifying their type on conveyors using light curtain sensors. Korean Intellectual Property Office. Application no.: 10-2020-0045098, Registration no.: 10-2273758.

  2. Park, H., & De Neve, W. (2018). Apparatus and method for measuring the size of high-speed boxes on conveyors using an RGB-D camera. Korean Intellectual Property Office. Application no.: 10-2018-0148118, Registration no.: 10-2066862.