Search Results - Pinetz, Thomas

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  1. 1
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    Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation Autoría: Pinetz, Thomas, Hucke, Veit, Bogunovic, Hrvoje

    Published 2026
    Fuente: arXiv
    Tipo de material: Preprint
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  2. 2
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    Closing the Domain Gap in Biomedical Imaging by In-Context Control Samples Autoría: Sanchez-Fernandez, Ana, Pinetz, Thomas, Zellinger, Werner, Klambauer, Günter

    Published 2026
    Fuente: arXiv
    Tipo de material: Preprint
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  3. 3
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    GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT Autoría: Fazekas, Botond, Pinetz, Thomas, Aresta, Guilherme, Emre, Taha, Bogunovic, Hrvoje

    Published 2025
    Fuente: arXiv
    Tipo de material: Preprint
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  4. 4
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    Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions Autoría: Li, Yangping, Pinetz, Thomas, Hölzel, Michael, Toma, Marieta, Effland, Alexander

    Published 2026
    Fuente: arXiv
    Tipo de material: Preprint
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  5. 5
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    Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging Autoría: Haas, Manuel, Grandits, Thomas, Pinetz, Thomas, Beiert, Thomas, Pezzuto, Simone, Effland, Alexander

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  6. 6
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    Learned Finite Element-based Regularization of the Inverse Problem in Electrocardiographic Imaging Autoría: Haas, Manuel, Grandits, Thomas, Pinetz, Thomas, Beiert, Thomas, Pezzuto, Simone, Effland, Alexander

    Published 2026
    Fuente: arXiv
    Tipo de material: Preprint
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  7. 7
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    Shape of my heart: Cardiac models through learned signed distance functions Autoría: Verhülsdonk, Jan, Grandits, Thomas, Costabal, Francisco Sahli, Pinetz, Thomas, Krause, Rolf, Auricchio, Angelo, Haase, Gundolf, Pezzuto, Simone, Effland, Alexander

    Published 2023
    Fuente: arXiv
    Tipo de material: Preprint
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  8. 8
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    Gadolinium dose reduction for brain MRI using conditional deep learning Autoría: Pinetz, Thomas, Kobler, Erich, Haase, Robert, Luetkens, Julian A., Meetschen, Mathias, Haubold, Johannes, Deuschl, Cornelius, Radbruch, Alexander, Deike, Katerina, Effland, Alexander

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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  9. 9
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    Stochastic Siamese MAE Pretraining for Longitudinal Medical Images Autoría: Emre, Taha, Chakravarty, Arunava, Pinetz, Thomas, Lachinov, Dmitrii, Menten, Martin J., Scholl, Hendrik, Sivaprasad, Sobha, Rueckert, Daniel, Lotery, Andrew, Sacu, Stefan, Schmidt-Erfurth, Ursula, Bogunović, Hrvoje

    Published 2025
    Fuente: arXiv
    Tipo de material: Preprint
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  10. 10
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    Efficient MedSAMs: Segment Anything in Medical Images on Laptop Autoría: Ma, Jun, Li, Feifei, Kim, Sumin, Asakereh, Reza, Le, Bao-Hiep, Nguyen-Vu, Dang-Khoa, Pfefferle, Alexander, Wei, Muxin, Gao, Ruochen, Lyu, Donghang, Yang, Songxiao, Purucker, Lennart, Marinov, Zdravko, Staring, Marius, Lu, Haisheng, Dao, Thuy Thanh, Ye, Xincheng, Li, Zhi, Brugnara, Gianluca, Vollmuth, Philipp, Foltyn-Dumitru, Martha, Cho, Jaeyoung, Mahmutoglu, Mustafa Ahmed, Bendszus, Martin, Pflüger, Irada, Rastogi, Aditya, Ni, Dong, Yang, Xin, Zhou, Guang-Quan, Wang, Kaini, Heller, Nicholas, Papanikolopoulos, Nikolaos, Weight, Christopher, Tong, Yubing, Udupa, Jayaram K, Patrick, Cahill J., Wang, Yaqi, Zhang, Yifan, Contijoch, Francisco, McVeigh, Elliot, Ye, Xin, He, Shucheng, Haase, Robert, Pinetz, Thomas, Radbruch, Alexander, Krause, Inga, Kobler, Erich, He, Jian, Tang, Yucheng, Yang, Haichun, Huo, Yuankai, Luo, Gongning, Kushibar, Kaisar, Amankulov, Jandos, Toleshbayev, Dias, Mukhamejan, Amangeldi, Egger, Jan, Pepe, Antonio, Gsaxner, Christina, Luijten, Gijs, Fujita, Shohei, Kikuchi, Tomohiro, Wiestler, Benedikt, Kirschke, Jan S., de la Rosa, Ezequiel, Bolelli, Federico, Lumetti, Luca, Grana, Costantino, Xie, Kunpeng, Wu, Guomin, Puladi, Behrus, Martín-Isla, Carlos, Lekadir, Karim, Campello, Victor M., Shao, Wei, Brisbane, Wayne, Jiang, Hongxu, Wei, Hao, Yuan, Wu, Li, Shuangle, Zhou, Yuyin, Wang, Bo

    Published 2024
    Fuente: arXiv
    Tipo de material: Preprint
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