Zobrazeno 1 - 10
of 6 688
pro vyhledávání: '"Ganz, P A"'
Purpose: Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. In this work, we compare the performance of commonly used reference-based and reference-free image quality metrics on a
Externí odkaz:
http://arxiv.org/abs/2412.18389
Autor:
von Witte, Gevin, Tamarov, Konstantin, Sahin, Neva, Himmler, Aaron, Ganz, Vera, Moilanen, Jani O., Lehto, Vesa-Pekka, Kwiatkowski, Grzegorz, Kozerke, Sebastian, Ernst, Matthias
Hyperpolarized nanoparticles (NPs) offer high polarization levels with room temperature relaxation times exceeding half an hour. In this work, we demonstrate that the achievable hyperpolarization enhancement and relaxation (decay) time at room temper
Externí odkaz:
http://arxiv.org/abs/2412.10536
Autor:
Nacson, Mor Shpigel, Aberdam, Aviad, Ganz, Roy, Avraham, Elad Ben, Golts, Alona, Kittenplon, Yair, Mazor, Shai, Litman, Ron
Vision-Language Models (VLMs) excel in diverse visual tasks but face challenges in document understanding, which requires fine-grained text processing. While typical visual tasks perform well with low-resolution inputs, reading-intensive applications
Externí odkaz:
http://arxiv.org/abs/2412.08746
Autor:
Ganz, Jonathan, Ammeling, Jonas, Rosbach, Emely, Lausser, Ludwig, Bertram, Christof A., Breininger, Katharina, Aubreville, Marc
Foundation models (FMs), i.e., models trained on a vast amount of typically unlabeled data, have become popular and available recently for the domain of histopathology. The key idea is to extract semantically rich vectors from any input patch, allowi
Externí odkaz:
http://arxiv.org/abs/2412.06365
Autor:
Ginzburg-Ganz, Elinor, Eyal, Ittay, Machlev, Ram, Baimel, Dmitry, Santosh, Leena, Belikov, Juri, Levron, Yoash
We propose an extended demand response program, based on ancillary service for supplying flexible electricity demand. In our proposed scheme, we suggest a broader management model to control the scheduling and power consumption of Bitcoin mining mach
Externí odkaz:
http://arxiv.org/abs/2411.11119
Autor:
Fhima, Jonathan, Avraham, Elad Ben, Nuriel, Oren, Kittenplon, Yair, Ganz, Roy, Aberdam, Aviad, Litman, Ron
Vision-Language (VL) models have garnered considerable research interest; however, they still face challenges in effectively handling text within images. To address this limitation, researchers have developed two approaches. The first method involves
Externí odkaz:
http://arxiv.org/abs/2411.04642
Autor:
Rosbach, Emely, Ammeling, Jonas, Krügel, Sebastian, Kießig, Angelika, Fritz, Alexis, Ganz, Jonathan, Puget, Chloé, Donovan, Taryn, Klang, Andrea, Köller, Maximilian C., Bolfa, Pompei, Tecilla, Marco, Denk, Daniela, Kiupel, Matti, Paraschou, Georgios, Kok, Mun Keong, Haake, Alexander F. H., de Krijger, Ronald R., Sonnen, Andreas F. -P., Kasantikul, Tanit, Dorrestein, Gerry M., Smedley, Rebecca C., Stathonikos, Nikolas, Uhl, Matthias, Bertram, Christof A., Riener, Andreas, Aubreville, Marc
Artificial intelligence (AI)-based decision support systems hold promise for enhancing diagnostic accuracy and efficiency in computational pathology. However, human-AI collaboration can introduce and amplify cognitive biases, such as confirmation bia
Externí odkaz:
http://arxiv.org/abs/2411.01007
Artificial intelligence (AI)-based clinical decision support systems (CDSS) promise to enhance diagnostic accuracy and efficiency in computational pathology. However, human-AI collaboration might introduce automation bias, where users uncritically fo
Externí odkaz:
http://arxiv.org/abs/2411.00998
Autor:
Beliveau, Vincent, Kaas, Helene, Prener, Martin, Ladefoged, Claes N., Elliott, Desmond, Knudsen, Gitte M., Pinborg, Lars H., Ganz, Melanie
Natural language processing (NLP) in the medical domain can underperform in real-world applications involving small datasets in a non-English language with few labeled samples and imbalanced classes. There is yet no consensus on how to approach this
Externí odkaz:
http://arxiv.org/abs/2409.20147
Autor:
Ganz, Roy, Elad, Michael
Joint Energy Models (JEMs), while drawing significant research attention, have not been successfully scaled to real-world, high-resolution datasets. We present EB-CLIP, a novel approach extending JEMs to the multimodal vision-language domain using CL
Externí odkaz:
http://arxiv.org/abs/2408.17046