Publications

Avigdor, Tamir, Alyssa Ho, Matthew Moye, William Davalan, Erica Minato, Sana Hannan, Tamzin Holden, et al. “Epilepsy surgery outcomes and their determinants: a systematic review and individual patient data meta-analysis.” J Neurol Neurosurg Psychiatry 97, no. 7 (June 12, 2026): 639–48. https://doi.org/10.1136/jnnp-2025-337158.

Calhoun, Z. D., M. Bergin, and D. Carlson. “Probabilistic interpolation of crowdsourced meteorological data for higher-resolution gridded estimates of surface air temperature.” Urban Climate 67 (June 1, 2026). https://doi.org/10.1016/j.uclim.2026.102977.

Abdelaal, Karim, Kathryn K. Walder-Christensen, Cameron Blount, Kellie Williford, Marisella Adams-Grimaldi, Stephen D. Mague, David E. Carlson, and Kafui Dzirasa. “A widespread internal brain state for fentanyl withdrawal.,” May 8, 2026. https://doi.org/10.64898/2026.05.04.722791.

K, Karthikeyan, Jennifer E. Flythe, Patrick H. Pun, Wolfgang C. Winkelmayer, and David Carlson. “Advanced artificial intelligence vs simpler models for 1-year death prediction among patients receiving hemodialysis.” JAMIA Open 9, no. 2 (April 2026): ooaf152. https://doi.org/10.1093/jamiaopen/ooaf152.

Goffinet, Jack, Casey Hanks, and David E. Carlson. “HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models,” February 24, 2026.

Talbot, Austin, Corey J. Keller, Cristina Trevino, David E. Carlson, Eric B. Dammer, Erik C. B. Johnson, Thomas S. Wingo, and Alex V. Kotlar. “Generative Principal Component Regression via Variational Inference.” IEEE Transactions on Signal Processing : A Publication of the IEEE Signal Processing Society 74 (January 2026): 1656–70. https://doi.org/10.1109/tsp.2026.3682931.

Zhang, H., Z. Jiang, S. Zhang, L. Tu, and D. Carlson. “Scale-free and unbiased transformer with tokenization for cell type annotation from single-cell RNA-seq data.” Pattern Recognition 168 (December 1, 2025). https://doi.org/10.1016/j.patcog.2025.111724.

Hickman, S. H. M., M. M. Kelp, P. T. Griffiths, K. Doerksen, K. Miyazaki, E. A. Pennington, G. Koren, et al. “Applications of Machine Learning and Artificial Intelligence in Tropospheric Ozone Research.” Geoscientific Model Development 18, no. 22 (November 20, 2025): 8777–8800. https://doi.org/10.5194/gmd-18-8777-2025.

Walder-Christensen, Kathryn K., Jack Goffinet, Alexandra L. Bey, Reah Syed, Jacob Benton, Stephen D. Mague, Elise Adamson, et al. “Sleep-Wake States Are Encoded across Emotion Regulation Regions of the Mouse Brain.” ENeuro 12, no. 11 (November 2025). https://doi.org/10.1523/ENEURO.0291-25.2025.

Li, Keyu, Charles Wood, Liz Nichols, Zachary D. Calhoun, Nrupen A. Bhavsar, and David Carlson. “Neighborhood Environmental and Contextual Factors Improve Prediction of Childhood Body Mass Index: An Application of Novel Graph Neural Networks.” AJE Adv, September 24, 2025. https://doi.org/10.1093/ajeadv/uuaf011.

Isaev, Dmitry Yu, Samantha Major, Kimberly L. H. Carpenter, Jordan Grapel, Zhuoqing Chang, Matias Di Martino, David Carlson, Geraldine Dawson, and Guillermo Sapiro. “Use of computer vision analysis for labeling inattention periods in EEG recordings with visual stimuli.” Sci Rep 15, no. 1 (August 22, 2025): 30963. https://doi.org/10.1038/s41598-025-10511-2.

Liu, Y., W. Shi, C. Fu, Z. Jiang, Z. Hua, and D. Carlson. “MOTTO: A Mixture-of-Experts Framework for Multi-Treatment, Multi-Outcome Treatment Effect Estimation.” In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2:1891–1902, 2025. https://doi.org/10.1145/3711896.3737056.

Zhou, Yanjie, Feng Zhou, Fengjun Xi, Yong Liu, Yun Peng, David E. Carlson, and Liyun Tu. “Efficient few-shot medical image segmentation via self-supervised variational autoencoder.” Medical Image Analysis 104 (August 2025): 103637. https://doi.org/10.1016/j.media.2025.103637.

Attanayake, G., M. Senarathna, M. Bergin, D. Carlson, P. V. Bhave, G. Bowatte, and N. Harischandra. “An RF-CNN pipeline for predicting PM2.5 concentration in Sri Lanka.” Journal of Hazardous Materials Advances 19 (August 1, 2025). https://doi.org/10.1016/j.hazadv.2025.100782.

Goffinet, Jack, Youngjo Min, Carlo Tomasi, and David E. Carlson. “Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance,” May 23, 2025.

Calhoun, Zachary, Mike Bergin, and David Carlson. “Big, noisy data: how scalable Gaussian processes can leverage personal weather stations to improve spatiotemporal coverage of urban climate networks,” May 21, 2025. https://doi.org/10.5194/icuc12-491.

Avigdor, Tamir, Alyssa Ho, Matthew Moye, William Davalan, Erica Minato, Sana Hannan, Tamzin Holden, et al. “Anatomical Determinants of Epilepsy Surgery Outcomes: A Systematic Review and Individual Patient Data Meta-Analysis.” OpenRxiv, May 13, 2025. https://doi.org/10.1101/2025.05.13.25327534.

Carlson, David E., Ricardo Chavarriaga, Yiling Liu, Fabien Lotte, and Bao-Liang Lu. “The NERVE-ML (neural engineering reproducibility and validity essentials for machine learning) checklist: ensuring machine learning advances neural engineering^{.” Journal of Neural Engineering 22, no. 2 (March 2025). https://doi.org/10.1088/1741-2552/adbfbd.}

Jain, V., A. Mukherjee, S. Banerjee, S. Madhwal, M. H. Bergin, P. Bhave, D. Carlson, et al. “A hybrid approach for integrating micro-satellite images and sensors network-based ground measurements using deep learning for high-resolution prediction of fine particulate matter (PM2.5) over an indian city, lucknow.” Atmospheric Environment 338 (December 1, 2024). https://doi.org/10.1016/j.atmosenv.2024.120798.

Carson, William E., Samantha Major, Harshitha Akkineni, Hannah Fung, Elias Peters, Kimberly L. H. Carpenter, Geraldine Dawson, and David E. Carlson. “Model selection to achieve reproducible associations between resting state EEG features and autism.” Sci Rep 14, no. 1 (October 25, 2024): 25301. https://doi.org/10.1038/s41598-024-76659-5.

Calhoun, Z. D., M. S. Black, M. Bergin, and D. Carlson. “Refining Citizen Climate Science: Addressing Preferential Sampling for Improved Estimates of Urban Heat.” Environmental Science and Technology Letters 11, no. 8 (August 13, 2024): 845–50. https://doi.org/10.1021/acs.estlett.4c00296.

Hughes, Dalton N., Michael Hunter Klein, Kathryn Katsue Walder-Christensen, Gwenaëlle E. Thomas, Yael Grossman, Diana Waters, Anna E. Matthews, et al. “A widespread electrical brain network encodes anxiety in health and depressive states.” BioRxiv, June 30, 2024. https://doi.org/10.1101/2024.06.26.600900.

Sui, C., Z. Jiang, G. Higueros, D. Carlson, and P. C. Hsu. “Designing electrodes and electrolytes for batteries by leveraging deep learning.” Nano Research Energy 3, no. 2 (June 1, 2024). https://doi.org/10.26599/NRE.2023.9120102.

Brandsen, Sam, Tara Chandrasekhar, Lauren Franz, Jordan Grapel, Geraldine Dawson, and David Carlson. “Prevalence of bias against neurodivergence-related terms in artificial intelligence language models.” Autism Res 17, no. 2 (February 2024): 234–48. https://doi.org/10.1002/aur.3094.

Walder-Christensen, Kathryn, Karim Abdelaal, Hunter Klein, Gwenaëlle E. Thomas, Neil M. Gallagher, Austin Talbot, Elise Adamson, et al. “Electome network factors: Capturing emotional brain networks related to health and disease.” Cell Rep Methods 4, no. 1 (January 22, 2024): 100691. https://doi.org/10.1016/j.crmeth.2023.100691.