E-LIB Suche - Ergebnisse für: Kiraly, Atilla P

1

An intentional approach to managing bias in general purpose..:

Weng, Wei-Hung ; Sellergen, Andrew ; Kiraly, Atilla P...
The Lancet Digital Health. 6 (2024) 2 - p. e126-e130 , 2024

Link: https://doi.org/10.1016/..

2

Deep learning for distinguishing normal versus abnormal che..:

Nabulsi, Zaid ; Sellergren, Andrew ; Jamshy, Shahar...
Scientific Reports. 11 (2021) 1 - p. , 2021

Link: https://doi.org/10.1038/..

3

Deep Adversarial Context-Aware Landmark Detection for Ultra..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; Lecture Notes in Computer Science,

Tuysuzoglu, Ahmet ; Tan, Jeremy ; Eissa, Kareem... - p. 151-158 , 2018

Link: https://doi.org/10.1007/..

4

New biplane x-ray magnetic resonance image fusion prototype..:

Kurzendorfer, Tanja ; Girard, Erin ; Gralewski, Kevin...
Journal of Cardiovascular Magnetic Resonance. 16 (2014) - p. O103 , 2014

Link: https://doi.org/10.1186/..

5

2D display of a 3D tree for pulmonary embolism detection:

Kiraly, Atilla P. ; Naidich, David P. ; Novak, Carol L.
International Congress Series. 1281 (2005) - p. 1132-1136 , 2005

Link: https://doi.org/10.1016/..

6

A fast method for colon polyp detection in high-resolution ..:

Kiraly, Atilla P ; Laks, Shaked ; Macari, Michael...
International Congress Series. 1268 (2004) - p. 983-988 , 2004

Link: https://doi.org/10.1016/..

7

Deep Learning for Distinguishing Normal versus Abnormal Che..:

Nabulsi, Zaid ; Sellergren, Andrew ; Jamshy, Shahar...
http://arxiv.org/abs/2010.11375. , 2020

Link: http://arxiv.org/abs/201..

8

Deep Adversarial Context-Aware Landmark Detection for Ultra..:

Tuysuzoglu, Ahmet ; Tan, Jeremy ; Eissa, Kareem...
http://arxiv.org/abs/1805.10737. , 2018

Link: http://arxiv.org/abs/180..

9

New biplane x-ray magnetic resonance image fusion prototype..:

Kurzendorfer, Tanja ; Girard, Erin ; Gralewski, Kevin...
http://www.jcmr-online.com/content/16/S1/O103. , 2014

Link: http://www.jcmr-online.c..

10

Deep learning for distinguishing normal versus abnormal che..:

Zaid Nabulsi ; Andrew Sellergren ; Shahar Jamshy...
https://doi.org/10.1038/s41598-021-93967-2. , 2021

Link: https://doi.org/10.1038/..

11

A Method to Quantify Breast MRI for Predicting Tumor Invasi..:

Ko, Myung-Su ; Kim, Sung Hun ; Kang, Bong Joo...
Journal of the Korean Society of Magnetic Resonance in Medicine. 17 (2013) 2 - p. 73 , 2013

Link: https://doi.org/10.13104..

12

Spinal interaction between the highly selective μ agonist D..:

Szentirmay, A.K. ; Király, K.P. ; Lenkey, N....
Brain Research Bulletin. 90 (2013) - p. 66-71 , 2013

Link: https://doi.org/10.1016/..

13

Effects of opioid agonist and antagonist in dams exposed to..:

Sobor, Melinda ; Timár, Julia ; Riba, Pál...
Brain Research Bulletin. 84 (2011) 1 - p. 53-60 , 2011

Link: https://doi.org/10.1016/..

14

Dose-dependent potentiation by the δ antagonist cha-TIPPpsi..:

Szentirmay, Apolka K. ; Király, Kornél P. ; Al-Khrasani, Mahmoud...
Pharmacological Reports. 63 (2011) 1 - p. 241-242 , 2011

Link: https://doi.org/10.1016/..

15

Novel approach to demonstrate high efficacy of μ opioids in..:

Riba, Pál ; Friedmann, Tamás ; Király, Kornél P....
Brain Research Bulletin. 81 (2010) 1 - p. 178-184 , 2010

Link: https://doi.org/10.1016/..