Risultati della ricerca - Pinetz, Thomas
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1
Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation Autoría: Pinetz, Thomas, Hucke, Veit, Bogunovic, Hrvoje
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
2
Closing the Domain Gap in Biomedical Imaging by In-Context Control Samples Autoría: Sanchez-Fernandez, Ana, Pinetz, Thomas, Zellinger, Werner, Klambauer, Günter
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
3
GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT Autoría: Fazekas, Botond, Pinetz, Thomas, Aresta, Guilherme, Emre, Taha, Bogunovic, Hrvoje
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
4
Semantic Segmentation for Histopathology using Learned Regularization based on Global Proportions Autoría: Li, Yangping, Pinetz, Thomas, Hölzel, Michael, Toma, Marieta, Effland, Alexander
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
5
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
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
6
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
Pubblicazione 2026Fuente: arXivTipo de material: PreprintAcceso al recurso -
7
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
Pubblicazione 2023Fuente: arXivTipo de material: PreprintAcceso al recurso -
8
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
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso -
9
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
Pubblicazione 2025Fuente: arXivTipo de material: PreprintAcceso al recurso -
10
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
Pubblicazione 2024Fuente: arXivTipo de material: PreprintAcceso al recurso