Deep Learning

Cui, C., Yang, H., Wang, Y., Zhao, S., Asad, Z., Coburn, L. A., Wilson, K. T., Landman, B. A., & Huo, Y. (2023). Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review. Progress in Biomedical Engineering, 5(2), 22001. Read More

Li, J., Chen, J., Tang, Y., Wang, C., Landman, B. A., & Zhou, S. K. (2023). Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Analysis, 85, 102762. doi: 10.1016/j.media.2023.102762   Transformer, a recent advancement in deep… Read More

Davalos, Eduardo; Zhang, Yike; Ashwin, T.S.; Fonteles, Joyce Horn; Timalsina, Umesh; Biswas, Gautam. “3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments”. ACM International Conference Proceeding Series, 2024, pp. 175-183. DOI: 10.1145/3686215.3688380.    This study presents a new method for tracking where people are looking in… Read More

  Pan, Y.-C.; Vienneau, E.; Lefevre, R.; Eagle, S.; Byram, B. “Overcoming Labeled Data Barriers in Deep Ultrasound Imaging.” European Signal Processing Conference, 2024, pp. 770-774.     Deep networks have significantly advanced medical imaging. Initially, they were used for diagnosing conditions by interpreting… Read More

Deng, R.; Liu, Q.; Cui, C.; Yao, T.; Xiong, J.; Bao, S.; Li, H.; Yin, M.; Wang, Y.; Zhao, S.; Tang, Y.; Yang, H.; Huo, Y. “HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis.” Lecture Notes in Computer Science (including subseries Lecture Notes in… Read More

Li, H.; Oguz, B.; Arenas, G.; Yao, X.; Wang, J.; Pouch, A.; Byram, B.; Schwartz, N.; Oguz, I. “Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images.” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Volume… Read More

Zhang, Y.; Quinones-Grueiro, M.; Zhang, Z.; Wang, Y.; Barbour, W.; Biswas, G.; Work, D. “MARVEL: Bringing Multi-Agent Reinforcement-Learning Based Variable Speed Limit Controllers Closer to Deployment.” IEEE Access, 2024, DOI: 10.1109/ACCESS.2024.3489474.  Variable Speed Limits (VSL) are used worldwide to help manage… Read More

Zimmer-Dauphinee, J.; Wernke, S.A. “Semantic Segmentation and Classification of Active and Abandoned Agricultural Fields through Deep Learning in the Southern Peruvian Andes.” Remote Sensing, Volume 16, Issue 19, 2024, Article 3546, DOI: 10.3390/rs16193546.  In pre-Hispanic times, the Andean people built massive… Read More

Liu, X.; Bai, Y.; Lu, Y.; Soltoggio, A.; Kolouri, S. “Wasserstein task embedding for measuring task similarities.” Neural Networks, Volume 181, 2025, Article 106796, DOI: 10.1016/j.neunet.2024.106796.    Measuring the similarity between different tasks is important for various machine learning problems,… Read More

Rao, M.; Qin, Y.; Kolouri, S.; Wu, J.Y.; Moyer, D. “Zero-shot prompt-based video encoder for surgical gesture recognition.” International Journal of Computer Assisted Radiology and Surgery, 2024, DOI: 10.1007/s11548-024-03257-1.  This study explores how to build a system that can recognize surgical gestures… Read More