Waddelma

Kolouri, S., Naderializadeh, N., Rohde, G. K., & Hoffmann, H. (2021). WASSERSTEIN EMBEDDING FOR GRAPH LEARNING. ICLR 2021 – 9th International Conference on Learning Representations, 34. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150286096&partnerID=40&md5=8b88e110167be2c5fd01da171324d3d6  We introduce a new method called Wasserstein Embedding for Graph Learning (WEGL), which is a… Read More

Russell, R. G., Lovett Novak, L., Patel, M., Garvey, K. V., Craig, K. J. T., Jackson, G. P., Moore, D., & Miller, B. M. (2023). Competencies for the use of artificial intelligence-based tools by health care professionals. Academic Medicine, 98(3), 348-356. doi: 10.1097/ACM.0000000000004963… Read More

Lin, J.-R., Wang, S., Coy, S., Chen, Y.-A., Yapp, C., Tyler, M., Nariya, M. K., Heiser, C. N., Lau, K. S., Santagata, S., & Sorger, P. K. (2023). Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer. Cell, 186(2), 363-381.e13. doi: 10.1016/j.cell.2022.12.028  … 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

D’Souza, S., Seshadri, V., Toms, J., D’Haese, P., Dawant, B. M., Li, R., Shah, H. P., Koch, P., Larson, P., & Holloway, K. L. (2024). Precision targeting in the globus pallidus interna: insights from the multicenter, prospective, blinded VA/NINDS CSP 468 study. Journal of Neurosurgery, 141(6),… Read More

Levy, E., & Landman, B. (2024). ChatGP-Me?. Journal of Medical Imaging, 11(5), 050101. doi: 10.1117/1.JMI.11.5.050101  The editorial evaluates how the GenAI technologies available in 2024 (without specific coding) could impact scientific processes, exploring two AI tools with the aim of demonstrating what… Read More

Collins, Benjamin X.; Belisle-Pipon, Jean-Christophe; Evans, Barbara J.; Ferryman, Kadija; Jiang, Xiaoqian; Nebeker, Camille; Novak, Laurie; Roberts, Kirk; Were, Martin; Yin, Zhijun; Ravitsky, Vardit; Coco, Joseph; Hendricks-Sturrup, Rachele; Williams, Ishan; Clayton, Ellen W.; Malin, Bradley A. “Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process”… 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

Fang, Zihan; Huang, Yu. “‘Math is a pain!’: Understanding challenges and needs of the Machine Learning community on Stack Overflow“. Proceedings of the ACM on Human-Computer Interaction, vol. 8, no. CSCW2, 2024, p. 451. DOI: 10.1145/3686990.    Stack Overflow (SO)… Read More

Kohut, Lauren E.; Wernke, Steven A.; Dunnavant, Justin. “Modeling Marronage: GIS Heuristics of Refuge Affordances in Colonial St. Croix“. Journal of Archaeological Method and Theory, vol. 32, no. 1, 2025, pp. 2-32. DOI: 10.1007/s10816-024-09680-7    On the Caribbean island of St. Read More