• Selected Publications

    Manjunath Pranav, Lerner Brian, Dunn TW (2024). "Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation." International Conference on Artificial Intelligence in Medicine.

    Kim Kyungdo, Lyu Sihan, Mantri Sneha, Dunn TW (2024). "TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

    Li Tianqing, U Klibaite, J Akoad, Wu Joshua, Dunn TW (2024), Vector Quantized Representations for Efficient Hierarchical Delineation of Behavioral Repertoires, Computational and Systems Neuroscience (Cosyne).

    Li Tianqing, Severson KS, Wang F, Dunn TW (2023). "Improved 3D markerless mouse pose estimation using temporal semi-supervision." International journal of computer vision 131.6: 1389-1405.

    Marshall JD, Li Tianqing, Wu Joshua, Dunn TW (2022), "Leaving flatland: Advances in 3D behavioral measurement." Current Opinion in Neurobiology 73: 102522.

    Marshall J, Klibaite U, Gellis A, Aldarondo D, Ölveczky BP, Dunn TW (2021). “The PAIR-R24M Dataset for Multi-animal 3D Pose Estimation.” Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS).

    Dunn TW*, Marshall J*, Severson S, Aldarondo D, Hildebrand D, Chettih SN, Wang WL, Gellis AJ, Carlson DE, Aronov D, Freiwald W, Wang F, Ölveczky BP (2021). “Geometric deep learning enables 3D kinematic profiling across species and environments.” Nature Methods.

    Zhang L, Dunn TW, Marshall J, Ölveczky BP, Linderman S (2021). “3D animal pose estimation with a hierarchical von Mises-Fisher-Gaussian model.” Artificial Intelligence and Statistics (AISTATS) 2021.

    Marshall J, Aldarondo D, Dunn TW, Wang W, Berman G, Olveczky O (2020). ”Continuous long-term recordings of whole-body kinematics across the rodent behavioral repertoire.” Neuron.

    Dunn TW and Fitzgerald JE (2020). “Correcting for physical distortions in visual stimuli improves reproducibility in zebrafish neuroscience.” eLife.

    Harfouche M, Dunn TW, Naumann EA, Horstmeyer R (2019). “Imaging the behavior and neural activity of freely moving organisms with a gigapixel microscope.” Biophotonics Congress: Optics in the Life Sciences Congress.

    Naumann EA, Fitzgerald JE, Dunn TW, Rihel J, Sompolinsky H, Engert F (2016). “From whole-brain data to functional circuit models: the zebrafish optomotor response.” Cell.

    Dunn TW*, Mu Y*, Narayan S, Randlett O, Naumann EA, Yang C-T, Schier AF, Freeman J, Engert F, Ahrens MA (2016). “Brain-wide mapping of neural activity controlling zebrafish exploratory locomotion.” eLife.

    Dunn TW, Gebhardt C, Naumann EA, Riegler C, Ahrens MB, Engert F, Del Bene F (2016). “Neural circuits underlying visually evoked escapes in larval zebrafish.” Neuron.

    Huang KH, Ahrens MB, Dunn TW, Engert F (2013). “Spinal projection neurons control turning behaviors in zebrafish.” Current Biology.

    Kokel D, Dunn TW, Ahrens MB, Alshut R, Cheung CY, Saint-Amant L, Bruni G, Mateus R, van Ham TJ, Shiraki T, Fukada Y, Kojima D, Yeh JR, Mikut R, von Lintig J, Engert F, Peterson RT (2013). “Identification of nonvisual photomotor response cells in the vertebrate hindbrain.” Journal of Neuroscience.

  • Tim's full list of publications