Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Irmakci, Ismail"'
In our comprehensive experiments and evaluations, we show that it is possible to generate multiple contrast (even all synthetically) and use synthetically generated images to train an image segmentation engine. We showed promising segmentation result
Externí odkaz:
http://arxiv.org/abs/2207.02469
Autor:
Salanitri, Federica Proietto, Bellitto, Giovanni, Palazzo, Simone, Irmakci, Ismail, Wallace, Michael B., Bolan, Candice W., Engels, Megan, Hoogenboom, Sanne, Aldinucci, Marco, Bagci, Ulas, Giordano, Daniela, Spampinato, Concetto
Early detection of precancerous cysts or neoplasms, i.e., Intraductal Papillary Mucosal Neoplasms (IPMN), in pancreas is a challenging and complex task, and it may lead to a more favourable outcome. Once detected, grading IPMNs accurately is also nec
Externí odkaz:
http://arxiv.org/abs/2206.10531
Autor:
Salanitri, Federica Proietto, Bellitto, Giovanni, Irmakci, Ismail, Palazzo, Simone, Bagci, Ulas, Spampinato, Concetto
We propose a novel 3D fully convolutional deep network for automated pancreas segmentation from both MRI and CT scans. More specifically, the proposed model consists of a 3D encoder that learns to extract volume features at different scales; features
Externí odkaz:
http://arxiv.org/abs/2109.01667
Autor:
Irmakci, Ismail, Nateghi, Ramin, Zhou, Rujoi, Vescovo, Mariavittoria, Saft, Madeline, Ross, Ashley E., Yang, Ximing J., Cooper, Lee A.D., Goldstein, Jeffery A.
Publikováno v:
In Modern Pathology March 2024 37(3)
Autor:
Demir, Ugur, Irmakci, Ismail, Keles, Elif, Topcu, Ahmet, Xu, Ziyue, Spampinato, Concetto, Jambawalikar, Sachin, Turkbey, Evrim, Turkbey, Baris, Bagci, Ulas
Visual explanation methods have an important role in the prognosis of the patients where the annotated data is limited or unavailable. There have been several attempts to use gradient-based attribution methods to localize pathology from medical scans
Externí odkaz:
http://arxiv.org/abs/2104.02869
Autor:
Anwar, Syed Muhammad, Irmakci, Ismail, Torigian, Drew A., Jambawalikar, Sachin, Papadakis, Georgios Z., Akgun, Can, Akcakaya, Mehmet, Bagci, Ulas
Segmentation of thigh tissues (muscle, fat, inter-muscular adipose tissue (IMAT), bone, and bone marrow) from magnetic resonance imaging (MRI) scans is useful for clinical and research investigations in various conditions such as aging, diabetes mell
Externí odkaz:
http://arxiv.org/abs/2009.03128
Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature. This is made possible via the introduction of locally-constrained routing and transformation matrix sharing, which reduces the param
Externí odkaz:
http://arxiv.org/abs/2004.04736
The diagnosis, prognosis, and treatment of patients with musculoskeletal (MSK) disorders require radiology imaging (using computed tomography, magnetic resonance imaging(MRI), and ultrasound) and their precise analysis by expert radiologists. Radiolo
Externí odkaz:
http://arxiv.org/abs/2003.00541
Publikováno v:
In Placenta April 2023 135:43-50
Autor:
Dam, Erik B, Desai, Arjun D, Deniz, Cem M, Rajamohan, Haresh R, Regatte, Ravinder, Iriondo, Claudia, Pedoia, Valentina, Majumdar, Sharmila, Perslev, Mathias, Igel, Christian, Pai, Akshay, Gaj, Sibaji, Yang, Mingrui, Nakamura, Kunio, Li, Xiaojuan, Maqbool, Hasan, Irmakci, Ismail, Song, Sang-Eun, Bagci, Ulas, Hargreaves, Brian, Gold, Garry, Chaudhari, Akshay
Publikováno v:
In Osteoarthritis Imaging March 2023 3(1)