Zobrazeno 1 - 10
of 622
pro vyhledávání: '"Weiss, Jakob"'
Autor:
Graf, Robert, Platzek, Paul-Sören, Riedel, Evamaria Olga, Ramschütz, Constanze, Starck, Sophie, Möller, Hendrik Kristian, Atad, Matan, Völzke, Henry, Bülow, Robin, Schmidt, Carsten Oliver, Rüdebusch, Julia, Jung, Matthias, Reisert, Marco, Weiss, Jakob, Löffler, Maximilian, Bamberg, Fabian, Wiestler, Bene, Paetzold, Johannes C., Rueckert, Daniel, Kirschke, Jan Stefan
Objectives: To present a publicly available torso segmentation network for large epidemiology datasets on volumetric interpolated breath-hold examination (VIBE) images. Materials & Methods: We extracted preliminary segmentations from TotalSegmentator
Externí odkaz:
http://arxiv.org/abs/2406.00125
Autor:
D'Antonoli, Tugba Akinci, Berger, Lucas K., Indrakanti, Ashraya K., Vishwanathan, Nathan, Weiß, Jakob, Jung, Matthias, Berkarda, Zeynep, Rau, Alexander, Reisert, Marco, Küstner, Thomas, Walter, Alexandra, Merkle, Elmar M., Segeroth, Martin, Cyriac, Joshy, Yang, Shan, Wasserthal, Jakob
Purpose: To develop an open-source and easy-to-use segmentation model that can automatically and robustly segment most major anatomical structures in MR images independently of the MR sequence. Materials and Methods: In this study we extended the cap
Externí odkaz:
http://arxiv.org/abs/2405.19492
Autor:
Häntze, Hartmut, Xu, Lina, Mertens, Christian J., Dorfner, Felix J., Donle, Leonhard, Busch, Felix, Kader, Avan, Ziegelmayer, Sebastian, Bayerl, Nadine, Navab, Nassir, Rueckert, Daniel, Schnabel, Julia, Aerts, Hugo JWL, Truhn, Daniel, Bamberg, Fabian, Weiß, Jakob, Schlett, Christopher L., Ringhof, Steffen, Niendorf, Thoralf, Pischon, Tobias, Kauczor, Hans-Ulrich, Nonnenmacher, Tobias, Kröncke, Thomas, Völzke, Henry, Schulz-Menger, Jeanette, Maier-Hein, Klaus, Prokop, Mathias, van Ginneken, Bram, Hering, Alessa, Makowski, Marcus R., Adams, Lisa C., Bressem, Keno K.
Purpose: To develop and evaluate a deep learning model for multi-organ segmentation of MRI scans. Materials and Methods: The model was trained on 1,200 manually annotated 3D axial MRI scans from the UK Biobank, 221 in-house MRI scans, and 1228 CT sca
Externí odkaz:
http://arxiv.org/abs/2405.06463
Autor:
Bernecker, Tobias, Peters, Annette, Schlett, Christopher L., Bamberg, Fabian, Theis, Fabian, Rueckert, Daniel, Weiß, Jakob, Albarqouni, Shadi
Given the high incidence and effective treatment options for liver diseases, they are of great socioeconomic importance. One of the most common methods for analyzing CT and MRI images for diagnosis and follow-up treatment is liver segmentation. Recen
Externí odkaz:
http://arxiv.org/abs/2205.11096
Autor:
Jung, Matthias, Raghu, Vineet K., Reisert, Marco, Rieder, Hanna, Rospleszcz, Susanne, Pischon, Tobias, Niendorf, Thoralf, Kauczor, Hans-Ulrich, Völzke, Henry, Bülow, Robin, Russe, Maximilian F., Schlett, Christopher L., Lu, Michael T., Bamberg, Fabian, Weiss, Jakob
Publikováno v:
In eBioMedicine December 2024 110
Autor:
Zhang, Zhongyi, Weiss, Jakob, Taron, Jana, Zeleznik, Roman, Lu, Michael T., Aerts, Hugo J. W. L.
Purpose: Automatic methods are required for the early detection of hepatic steatosis to avoid progression to cirrhosis and cancer. Here, we developed a fully automated deep learning pipeline to quantify hepatic steatosis on non-contrast enhanced ches
Externí odkaz:
http://arxiv.org/abs/2202.02377
Autor:
Berkarda, Zeynep, Wiedemann, Simon, Wilpert, Caroline, Strecker, Ralph, Koerzdoerfer, Gregor, Nickel, Dominik, Bamberg, Fabian, Benndorf, Matthias, Mayrhofer, Thomas, Russe, Maximilian Frederik, Weiss, Jakob, Diallo, Thierno D.
Publikováno v:
In European Journal of Radiology September 2024 178
Autor:
Weiss, Jakob, Navab, Nassir
Volume Rendering is an important technique for visualizing three-dimensional scalar data grids and is commonly employed for scientific and medical image data. Direct Volume Rendering (DVR) is a well established and efficient rendering algorithm for v
Externí odkaz:
http://arxiv.org/abs/2106.05429
Autor:
Kollar, Branislav, Weiss, Jakob B.W., Nguyen, Cam Tu, Zeller, Johannes, Kiefer, Jurij, Eisenhardt, Steffen U.
Publikováno v:
In Journal of Plastic, Reconstructive & Aesthetic Surgery December 2023 87:318-328
Autor:
Weiss, Jakob B.W., Spuerck, Felicitas, Weber, Janick, Zeller, Johannes, Eisenhardt, Steffen U.
Publikováno v:
In Journal of Plastic, Reconstructive & Aesthetic Surgery October 2023 85:436-445