Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives von Li, Jun, Chen, Junyu, Tang, Yucheng, Wang, Ce, Landman, Bennett A., Zhou, S. Kevin

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Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps von Schilling, Kurt G, Blaber, Justin, Hansen, Colin, Cai, Leon, Rogers, Baxter, Anderson, Adam W, Smith, Seth, Kanakaraj, Praitayini, Rex, Tonia, Resnick, Susan M, Shafer, Andrea T, Cutting, Laurie E, Woodward, Neil, Zald, David, Landman, Bennett A

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3D whole brain segmentation using spatially localized atlas network tiles von Huo, Yuankai, Xu, Zhoubing, Xiong, Yunxi, Aboud, Katherine, Parvathaneni, Prasanna, Bao, Shunxing, Bermudez, Camilo, Resnick, Susan M., Cutting, Laurie E., Landman, Bennett A.

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Histological validation of diffusion MRI fiber orientation distributions and dispersion von Schilling, Kurt G., Janve, Vaibhav, Gao, Yurui, Stepniewska, Iwona, Landman, Bennett A., Anderson, Adam W.

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Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking von Zhao, Mengyang, Jha, Aadarsh, Liu, Quan, Millis, Bryan A., Mahadevan-Jansen, Anita, Lu, Le, Landman, Bennett A., Tyska, Matthew J., Huo, Yuankai

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Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments von Kim, Mina, Gillen, Joseph, Landman, Bennett A., Zhou, Jinyuan, van Zijl, Peter C.M.

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The future of digital health with federated learning von Rieke, Nicola, Hancox, Jonny, Li, Wenqi, Milletarì, Fausto, Roth, Holger R., Albarqouni, Shadi, Bakas, Spyridon, Galtier, Mathieu N., Landman, Bennett A., Maier-Hein, Klaus, Ourselin, Sébastien, Sheller, Micah, Summers, Ronald M., Trask, Andrew, Xu, Daguang, Baust, Maximilian, Cardoso, M. Jorge

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SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth von Huo, Yuankai, Xu, Zhoubing, Moon, Hyeonsoo, Bao, Shunxing, Assad, Albert, Moyo, Tamara K., Savona, Michael R., Abramson, Richard G., Landman, Bennett A.

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Confirmation of a gyral bias in diffusion MRI fiber tractography von Schilling, Kurt, Gao, Yurui, Janve, Vaibhav, Stepniewska, Iwona, Landman, Bennett A., Anderson, Adam W.

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Prefrontal-Thalamic Anatomical Connectivity and Executive Cognitive Function in Schizophrenia von Giraldo-Chica, Monica, Rogers, Baxter P., Damon, Stephen M., Landman, Bennett A., Woodward, Neil D.

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Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation von Nath, Vishwesh, Yang, Dong, Landman, Bennett A., Xu, Daguang, Roth, Holger R.

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Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules von Massion, Pierre P, Antic, Sanja, Ather, Sarim, Arteta, Carlos, Brabec, Jan, Chen, Heidi, Declerck, Jerome, Dufek, David, Hickes, William, Kadir, Timor, Kunst, Jonas, Landman, Bennett A, Munden, Reginald F, Novotny, Petr, Peschl, Heiko, Pickup, Lyndsey C, Santos, Catarina, Smith, Gary T, Talwar, Ambika, Gleeson, Fergus

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Non-local statistical label fusion for multi-atlas segmentation von Asman, Andrew J., Landman, Bennett A.

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Synthesized b0 for diffusion distortion correction (Synb0-DisCo) von Schilling, Kurt G., Blaber, Justin, Huo, Yuankai, Newton, Allen, Hansen, Colin, Nath, Vishwesh, Shafer, Andrea T., Williams, Owen, Resnick, Susan M., Rogers, Baxter, Anderson, Adam W., Landman, Bennett A.

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Challenges in diffusion MRI tractography – Lessons learned from international benchmark competitions von Schilling, Kurt G., Daducci, Alessandro, Maier-Hein, Klaus, Poupon, Cyril, Houde, Jean-Christophe, Nath, Vishwesh, Anderson, Adam W., Landman, Bennett A., Descoteaux, Maxime

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Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI von Schilling, Kurt, Janve, Vaibhav, Gao, Yurui, Stepniewska, Iwona, Landman, Bennett A., Anderson, Adam W.

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An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI von Radwan, Ahmed M., Sunaert, Stefan, Schilling, Kurt, Descoteaux, Maxime, Landman, Bennett A., Vandenbulcke, Mathieu, Theys, Tom, Dupont, Patrick, Emsell, Louise

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Methods and open-source toolkit for analyzing and visualizing challenge results von Wiesenfarth, Manuel, Reinke, Annika, Landman, Bennett A., Eisenmann, Matthias, Saiz, Laura Aguilera, Cardoso, M. Jorge, Maier-Hein, Lena, Kopp-Schneider, Annette

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Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentati... von Schilling, Kurt G., Tax, Chantal M.W., Rheault, Francois, Hansen, Colin, Yang, Qi, Yeh, Fang-Cheng, Cai, Leon, Anderson, Adam W., Landman, Bennett A.

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Anatomical context protects deep learning from adversarial perturbations in medical imaging von Li, Yi, Zhang, Huahong, Bermudez, Camilo, Chen, Yifan, Landman, Bennett A., Vorobeychik, Yevgeniy

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