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pro vyhledávání: '"Palm, Christoph"'
Real-time computational speed and a high degree of precision are requirements for computer-assisted interventions. Applying a segmentation network to a medical video processing task can introduce significant inter-frame prediction noise. Existing app
Externí odkaz:
http://arxiv.org/abs/2403.03120
Publikováno v:
Comput. Biol. Med. 169 (2024) 107929
In the field of computer- and robot-assisted minimally invasive surgery, enormous progress has been made in recent years based on the recognition of surgical instruments in endoscopic images and videos. In particular, the determination of the positio
Externí odkaz:
http://arxiv.org/abs/2304.13014
Autor:
Weiherer, Maximilian, Eigenberger, Andreas, Egger, Bernhard, Brébant, Vanessa, Prantl, Lukas, Palm, Christoph
We present the Regensburg Breast Shape Model (RBSM) -- a 3D statistical shape model of the female breast built from 110 breast scans acquired in a standing position, and the first publicly available. Together with the model, a fully automated, pairwi
Externí odkaz:
http://arxiv.org/abs/2107.13463
Autor:
Hartmann, Robin, Nieberle, Felix, Palm, Christoph, Brébant, Vanessa, Prantl, Lukas, Kuehle, Reinald, Reichert, Torsten E., Taxis, Juergen, Ettl, Tobias
Publikováno v:
In JPRAS Open March 2024 39:330-343
Publikováno v:
In Computers in Biology and Medicine February 2024 169
Autor:
Souza Jr., Luis A. de, Afonso, Luis C. S., Ebigbo, Alanna, Probst, Andreas, Messmann, Helmut, Mendel, Robert, Palm, Christoph, Papa, João P.
In this work, we introduce the unsupervised Optimum-Path Forest (OPF) classifier for learning visual dictionaries in the context of Barrett's esophagus (BE) and automatic adenocarcinoma diagnosis. The proposed approach was validated in two datasets (
Externí odkaz:
http://arxiv.org/abs/2101.07209
Autor:
Allan, Max, Kondo, Satoshi, Bodenstedt, Sebastian, Leger, Stefan, Kadkhodamohammadi, Rahim, Luengo, Imanol, Fuentes, Felix, Flouty, Evangello, Mohammed, Ahmed, Pedersen, Marius, Kori, Avinash, Alex, Varghese, Krishnamurthi, Ganapathy, Rauber, David, Mendel, Robert, Palm, Christoph, Bano, Sophia, Saibro, Guinther, Shih, Chi-Sheng, Chiang, Hsun-An, Zhuang, Juntang, Yang, Junlin, Iglovikov, Vladimir, Dobrenkii, Anton, Reddiboina, Madhu, Reddy, Anubhav, Liu, Xingtong, Gao, Cong, Unberath, Mathias, Kim, Myeonghyeon, Kim, Chanho, Kim, Chaewon, Kim, Hyejin, Lee, Gyeongmin, Ullah, Ihsan, Luna, Miguel, Park, Sang Hyun, Azizian, Mahdi, Stoyanov, Danail, Maier-Hein, Lena, Speidel, Stefanie
In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models. However, the limited background va
Externí odkaz:
http://arxiv.org/abs/2001.11190
Autor:
Scheppach, Markus W., Rauber, David, Stallhofer, Johannes, Muzalyova, Anna, Otten, Vera, Manzeneder, Carolin, Schwamberger, Tanja, Wanzl, Julia, Schlottmann, Jakob, Tadic, Vidan, Probst, Andreas, Schnoy, Elisabeth, Römmele, Christoph, Fleischmann, Carola, Meinikheim, Michael, Miller, Silvia, Märkl, Bruno, Stallmach, Andreas, Palm, Christoph, Messmann, Helmut, Ebigbo, Alanna
Publikováno v:
In Gastrointestinal Endoscopy May 2023 97(5):911-916
Publikováno v:
In Computers in Biology and Medicine March 2023 154