Zobrazeno 1 - 10
of 7 296
pro vyhledávání: '"P Munk"'
This study investigates the impact of self-supervised pretraining of 3D semantic segmentation models on a large-scale, domain-specific dataset. We introduce BRAINS-45K, a dataset of 44,756 brain MRI volumes from public sources, the largest public dat
Externí odkaz:
http://arxiv.org/abs/2408.00640
Autor:
Llambias, Sebastian Nørgaard, Machnio, Julia, Munk, Asbjørn, Ambsdorf, Jakob, Nielsen, Mads, Ghazi, Mostafa Mehdipour
Medical image analysis using deep learning frameworks has advanced healthcare by automating complex tasks, but many existing frameworks lack flexibility, modularity, and user-friendliness. To address these challenges, we introduce Yucca, an open-sour
Externí odkaz:
http://arxiv.org/abs/2407.19888
Graph cuts are among the most prominent tools for clustering and classification analysis. While intensively studied from geometric and algorithmic perspectives, graph cut-based statistical inference still remains elusive to a certain extent. Distribu
Externí odkaz:
http://arxiv.org/abs/2407.15297
Autor:
Haldar, Subhomoy, Munk, Morten, Havir, Harald, Khan, Waqar, Lehmann, Sebastian, Thelander, Claes, Dick, Kimberly A., Samuelsson, Peter, Potts, Patrick P., Maisi, Ville F.
We investigate experimentally the quantum coherence of an electronic two-level system in a double quantum dot under continuous charge detection. The charge-state of the two-level system is monitored by a capacitively coupled single quantum dot detect
Externí odkaz:
http://arxiv.org/abs/2406.11383
Recent experimental studies have shed light on the intriguing possibility that ion channels exhibit cooperative behaviour. However, a comprehensive understanding of such cooperativity remains elusive, primarily due to limitations in measuring separat
Externí odkaz:
http://arxiv.org/abs/2403.13197
Autor:
Aghaee, Morteza, Ramirez, Alejandro Alcaraz, Alam, Zulfi, Ali, Rizwan, Andrzejczuk, Mariusz, Antipov, Andrey, Astafev, Mikhail, Barzegar, Amin, Bauer, Bela, Becker, Jonathan, Bhaskar, Umesh Kumar, Bocharov, Alex, Boddapati, Srini, Bohn, David, Bommer, Jouri, Bourdet, Leo, Bousquet, Arnaud, Boutin, Samuel, Casparis, Lucas, Chapman, Benjamin James, Chatoor, Sohail, Christensen, Anna Wulff, Chua, Cassandra, Codd, Patrick, Cole, William, Cooper, Paul, Corsetti, Fabiano, Cui, Ajuan, Dalpasso, Paolo, Dehollain, Juan Pablo, de Lange, Gijs, de Moor, Michiel, Ekefjärd, Andreas, Dandachi, Tareq El, Saldaña, Juan Carlos Estrada, Fallahi, Saeed, Galletti, Luca, Gardner, Geoff, Govender, Deshan, Griggio, Flavio, Grigoryan, Ruben, Grijalva, Sebastian, Gronin, Sergei, Gukelberger, Jan, Hamdast, Marzie, Hamze, Firas, Hansen, Esben Bork, Heedt, Sebastian, Heidarnia, Zahra, Zamorano, Jesús Herranz, Ho, Samantha, Holgaard, Laurens, Hornibrook, John, Indrapiromkul, Jinnapat, Ingerslev, Henrik, Ivancevic, Lovro, Jensen, Thomas, Jhoja, Jaspreet, Jones, Jeffrey, Kalashnikov, Konstantin V., Kallaher, Ray, Kalra, Rachpon, Karimi, Farhad, Karzig, Torsten, King, Evelyn, Kloster, Maren Elisabeth, Knapp, Christina, Kocon, Dariusz, Koski, Jonne, Kostamo, Pasi, Kumar, Mahesh, Laeven, Tom, Larsen, Thorvald, Lee, Jason, Lee, Kyunghoon, Leum, Grant, Li, Kongyi, Lindemann, Tyler, Looij, Matthew, Love, Julie, Lucas, Marijn, Lutchyn, Roman, Madsen, Morten Hannibal, Madulid, Nash, Malmros, Albert, Manfra, Michael, Mantri, Devashish, Markussen, Signe Brynold, Martinez, Esteban, Mattila, Marco, McNeil, Robert, Mei, Antonio B., Mishmash, Ryan V., Mohandas, Gopakumar, Mollgaard, Christian, Morgan, Trevor, Moussa, George, Nayak, Chetan, Nielsen, Jens Hedegaard, Nielsen, Jens Munk, Nielsen, William Hvidtfelt Padkær, Nijholt, Bas, Nystrom, Mike, O'Farrell, Eoin, Ohki, Thomas, Otani, Keita, Wütz, Brian Paquelet, Pauka, Sebastian, Petersson, Karl, Petit, Luca, Pikulin, Dima, Prawiroatmodjo, Guen, Preiss, Frank, Morejon, Eduardo Puchol, Rajpalke, Mohana, Ranta, Craig, Rasmussen, Katrine, Razmadze, David, Reentila, Outi, Reilly, David J., Ren, Yuan, Reneris, Ken, Rouse, Richard, Sadovskyy, Ivan, Sainiemi, Lauri, Sanlorenzo, Irene, Schmidgall, Emma, Sfiligoj, Cristina, Shah, Mustafeez Bashir, Simoes, Kevin, Singh, Shilpi, Sinha, Sarat, Soerensen, Thomas, Sohr, Patrick, Stankevic, Tomas, Stek, Lieuwe, Stuppard, Eric, Suominen, Henri, Suter, Judith, Teicher, Sam, Thiyagarajah, Nivetha, Tholapi, Raj, Thomas, Mason, Toomey, Emily, Tracy, Josh, Turley, Michelle, Upadhyay, Shivendra, Urban, Ivan, Van Hoogdalem, Kevin, Van Woerkom, David J., Viazmitinov, Dmitrii V., Vogel, Dominik, Watson, John, Webster, Alex, Weston, Joseph, Winkler, Georg W., Xu, Di, Yang, Chung Kai, Yucelen, Emrah, Zeisel, Roland, Zheng, Guoji, Zilke, Justin
The fusion of non-Abelian anyons or topological defects is a fundamental operation in measurement-only topological quantum computation. In topological superconductors, this operation amounts to a determination of the shared fermion parity of Majorana
Externí odkaz:
http://arxiv.org/abs/2401.09549
The current state-of-the art techniques for image segmentation are often based on U-Net architectures, a U-shaped encoder-decoder networks with skip connections. Despite the powerful performance, the architecture often does not perform well when used
Externí odkaz:
http://arxiv.org/abs/2312.12246
The inverse optimal transport problem is to find the underlying cost function from the knowledge of optimal transport plans. While this amounts to solving a linear inverse problem, in this work we will be concerned with the nonlinear inverse problem
Externí odkaz:
http://arxiv.org/abs/2312.05843
Due to its computational complexity, graph cuts for cluster detection and identification are used mostly in the form of convex relaxations. We propose to utilize the original graph cuts such as Ratio, Normalized or Cheeger Cut in order to detect clus
Externí odkaz:
http://arxiv.org/abs/2308.09613
We develop a multiscale scanning method to find anomalies in a $d$-dimensional random field in the presence of nuisance parameters. This covers the common situation that either the baseline-level or additional parameters such as the variance are unkn
Externí odkaz:
http://arxiv.org/abs/2307.13301