Zobrazeno 1 - 10
of 584
pro vyhledávání: '"Alara OR"'
Autor:
Liu, Zelong, Zhou, Alexander, Yang, Arnold, Yilmaz, Alara, Yoo, Maxwell, Sullivan, Mikey, Zhang, Catherine, Grant, James, Li, Daiqing, Fayad, Zahi A., Huver, Sean, Deyer, Timothy, Mei, Xueyan
Deep learning in medical imaging often requires large-scale, high-quality data or initiation with suitably pre-trained weights. However, medical datasets are limited by data availability, domain-specific knowledge, and privacy concerns, and the creat
Externí odkaz:
http://arxiv.org/abs/2312.05953
Autor:
Pinar Çağan, Ali Kimiaei, Seyedehtina Safaei, Houssam Eddine Youcefi, Alara Abu Saadeh, Feride Yaman, Özlem Yapıcıer, Cemal Asim Kutlu
Publikováno v:
Thoracic Cancer, Vol 15, Iss 28, Pp 1975-1988 (2024)
Abstract Bronchiolar adenoma (BA)/ciliated muconodular papillary tumor (CMPT) is a rare pulmonary neoplasm, with less than 150 cases documented in the literature. We report a unique case of BA/CMPT complicated by lymphoid interstitial pneumonia (LIP)
Externí odkaz:
https://doaj.org/article/a01eb9ede06a40c99c599f30bb6c68dd
Autor:
Frederik J. Hansen, Anke Mittelstädt, Finn-Niklas Clausen, Samuel Knoedler, Leonard Knoedler, Sebastian Klöckner, Isabelle Kuchenreuther, Johanne Mazurie, Lisa-Sophie Arnold, Anna Anthuber, Anne Jacobsen, Susanne Merkel, Nadine Weisel, Bettina Klösch, Alara Karabiber, Irem Tacyildiz, Franziska Czubayko, Helena Reitberger, Amr El Gendy, Maximilian Brunner, Christian Krautz, Kerstin Wolff, Sidonia Mihai, Clemens Neufert, Jürgen Siebler, Robert Grützmann, Georg F. Weber, Paul David
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies, presenting a persisting global health burden. Neutrophils have a double-edged role in tumor progression exhibiting both pro-tumor and anti-tumor functions. CD71,
Externí odkaz:
https://doaj.org/article/e79d863ff7694ca98076d9f8eae0ed3c
Autor:
Dirik, Alara, Yanardag, Pinar
Computer graphics, 3D computer vision and robotics communities have produced multiple approaches to represent and generate 3D shapes, as well as a vast number of use cases. However, single-view reconstruction remains a challenging topic that can unlo
Externí odkaz:
http://arxiv.org/abs/2212.02184
Generative models for 2D images has recently seen tremendous progress in quality, resolution and speed as a result of the efficiency of 2D convolutional architectures. However it is difficult to extend this progress into the 3D domain since most curr
Externí odkaz:
http://arxiv.org/abs/2210.03007
Publikováno v:
BJPsych Open, Vol 10, Pp S175-S175 (2024)
Aims Women with severe mental illness are at higher risk of sexually transmitted infections (STIs), unplanned pregnancies and poor engagement with cervical and breast screening. Despite current national guidance, these issues are poorly addressed dur
Externí odkaz:
https://doaj.org/article/e5a9a03b8f6f4fdf8a88a77e396e8fda
Recent advances in generative adversarial networks have shown that it is possible to generate high-resolution and hyperrealistic images. However, the images produced by GANs are only as fair and representative as the datasets on which they are traine
Externí odkaz:
http://arxiv.org/abs/2202.06240
The manipulation of latent space has recently become an interesting topic in the field of generative models. Recent research shows that latent directions can be used to manipulate images towards certain attributes. However, controlling the generation
Externí odkaz:
http://arxiv.org/abs/2202.06079
Discovering meaningful directions in the latent space of GANs to manipulate semantic attributes typically requires large amounts of labeled data. Recent work aims to overcome this limitation by leveraging the power of Contrastive Language-Image Pre-t
Externí odkaz:
http://arxiv.org/abs/2112.08493
In this paper, we use a large-scale play scripts dataset to propose the novel task of theatrical cue generation from dialogues. Using over one million lines of dialogue and cues, we approach the problem of cue generation as a controlled text generati
Externí odkaz:
http://arxiv.org/abs/2112.06953