{"date_updated":"2026-02-16T08:50:50Z","citation":{"ista":"Troidl J, Liang Y, Beyer J, Tavakoli M, Danzl JG, Hadwiger M, Pfister H, Tompkin J. 2026. niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction. 1st International Workshop on Efficient Medical Artificial Intelligence. EMA4MICCAI: Efficient Medical Artificial Intelligence, LNCS, vol. 16318, 257–267.","chicago":"Troidl, Jakob, Yiqing Liang, Johanna Beyer, Mojtaba Tavakoli, Johann G Danzl, Markus Hadwiger, Hanspeter Pfister, and James Tompkin. “Niiv: Interactive Self-Supervised Neural Implicit Isotropic Volume Reconstruction.” In <i>1st International Workshop on Efficient Medical Artificial Intelligence</i>, 16318:257–67. Springer Nature, 2026. <a href=\"https://doi.org/10.1007/978-3-032-13961-0_26\">https://doi.org/10.1007/978-3-032-13961-0_26</a>.","short":"J. Troidl, Y. Liang, J. Beyer, M. Tavakoli, J.G. Danzl, M. Hadwiger, H. Pfister, J. Tompkin, in:, 1st International Workshop on Efficient Medical Artificial Intelligence, Springer Nature, 2026, pp. 257–267.","ieee":"J. Troidl <i>et al.</i>, “niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction,” in <i>1st International Workshop on Efficient Medical Artificial Intelligence</i>, Daejeon, South Korea, 2026, vol. 16318, pp. 257–267.","apa":"Troidl, J., Liang, Y., Beyer, J., Tavakoli, M., Danzl, J. G., Hadwiger, M., … Tompkin, J. (2026). niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction. In <i>1st International Workshop on Efficient Medical Artificial Intelligence</i> (Vol. 16318, pp. 257–267). Daejeon, South Korea: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-032-13961-0_26\">https://doi.org/10.1007/978-3-032-13961-0_26</a>","ama":"Troidl J, Liang Y, Beyer J, et al. niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction. In: <i>1st International Workshop on Efficient Medical Artificial Intelligence</i>. Vol 16318. Springer Nature; 2026:257-267. doi:<a href=\"https://doi.org/10.1007/978-3-032-13961-0_26\">10.1007/978-3-032-13961-0_26</a>","mla":"Troidl, Jakob, et al. “Niiv: Interactive Self-Supervised Neural Implicit Isotropic Volume Reconstruction.” <i>1st International Workshop on Efficient Medical Artificial Intelligence</i>, vol. 16318, Springer Nature, 2026, pp. 257–67, doi:<a href=\"https://doi.org/10.1007/978-3-032-13961-0_26\">10.1007/978-3-032-13961-0_26</a>."},"page":"257-267","scopus_import":"1","acknowledgement":"This work was supported by NIH grants 1U01NS132158 and R01HD104969. We thank the reviewers for their constructive feedback.","OA_type":"green","alternative_title":["LNCS"],"abstract":[{"text":"Three-dimensional (3D) microscopy data is often anisotropic with significantly lower resolution (up to 8x) along the z axis than along the xy axes. Computationally generating plausible isotropic resolution from anisotropic imaging data would benefit the visual analysis of large-scale volumes. This paper proposes niiv, a self-supervised method for isotropic reconstruction of 3D microscopy data that can quickly produce images at arbitrary output resolutions. The representation embeds a learned latent code within a neural field that describes the implicit higher-resolution isotropic image region. We use an attention-guided latent interpolation approach, which allows flexible information exchange over a local latent neighborhood. Under isotropic volume assumptions, we self-supervise this representation on low-/high-resolution lateral image pairs to reconstruct an isotropic volume from low-resolution axial images. We evaluate our method on simulated and real anisotropic electron (EM) and light microscopy (LM) data. Compared to diffusion-based baselines, niiv shows improved reconstruction quality (+1 dB PSNR) and is over three orders of magnitude faster (1,000x) to infer. Specifically, niiv reconstructs a 128^3 voxel volume in 2/10th of a second, renderable at varying (continuous) high resolutions for display. Our code is available at https://github.com/jakobtroidl/niiv-miccai.","lang":"eng"}],"quality_controlled":"1","status":"public","month":"01","conference":{"name":"EMA4MICCAI: Efficient Medical Artificial Intelligence","start_date":"2025-09-23","location":"Daejeon, South Korea","end_date":"2025-09-23"},"oa":1,"volume":16318,"date_created":"2026-02-01T23:01:44Z","department":[{"_id":"JoDa"}],"publication":"1st International Workshop on Efficient Medical Artificial Intelligence","_id":"21135","publication_identifier":{"eissn":["1611-3349"],"issn":["0302-9743"],"isbn":["9783032139603"]},"article_processing_charge":"No","title":"niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction","oa_version":"Preprint","day":"03","related_material":{"link":[{"url":"https://github.com/jakobtroidl/niiv-miccai","relation":"software"}]},"date_published":"2026-01-03T00:00:00Z","year":"2026","intvolume":"     16318","doi":"10.1007/978-3-032-13961-0_26","publisher":"Springer Nature","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"OA_place":"repository","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2024.09.07.611785"}],"type":"conference","publication_status":"published","author":[{"first_name":"Jakob","full_name":"Troidl, Jakob","last_name":"Troidl"},{"full_name":"Liang, Yiqing","first_name":"Yiqing","last_name":"Liang"},{"last_name":"Beyer","full_name":"Beyer, Johanna","first_name":"Johanna"},{"orcid":"0000-0002-7667-6854","full_name":"Tavakoli, Mojtaba","first_name":"Mojtaba","last_name":"Tavakoli","id":"3A0A06F4-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Johann G","orcid":"0000-0001-8559-3973","full_name":"Danzl, Johann G","id":"42EFD3B6-F248-11E8-B48F-1D18A9856A87","last_name":"Danzl"},{"first_name":"Markus","full_name":"Hadwiger, Markus","last_name":"Hadwiger"},{"last_name":"Pfister","full_name":"Pfister, Hanspeter","first_name":"Hanspeter"},{"full_name":"Tompkin, James","first_name":"James","last_name":"Tompkin"}]}