E-LIB Suche - Ergebnisse für: Moassefi, Mana

1

A Guideline for Open-Source Tools to Make Medical Imaging D..:

Vahdati, Sanaz ; Khosravi, Bardia ; Mahmoudi, Elham...
Journal of Imaging Informatics in Medicine. , 2024

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

2

Deep-learning for automated detection of MSU deposits on DE..:

Faghani, Shahriar ; Patel, Soham ; Rhodes, Nicholas G....
Frontiers in Radiology. 4 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

3

THA-AID: Deep Learning Tool for Total Hip Arthroplasty Auto..:

Rouzrokh, Pouria ; Mickley, John P. ; Khosravi, Bardia...
The Journal of Arthroplasty. 39 (2024) 4 - p. 966-973.e17 , 2024

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

4

Exploring the Impact of 3D Fast Spin Echo and Inversion Rec..:

Moassefi, Mana ; Faghani, Shahriar ; Khanipour Roshan, Sara...
Mayo Clinic Proceedings: Digital Health. 2 (2024) 2 - p. 231-240 , 2024

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

5

Development of a deep learning model for the automated dete..:

Faghani, Shahriar ; Nicholas, Rhodes G. ; Patel, Soham...
Research in Diagnostic and Interventional Imaging. 9 (2024) - p. 100044 , 2024

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

6

Sumatriptan attenuates fear-learning despair induced by soc..:

Moradi, Kamyar ; Badripour, Abolfazl ; Moradi, Ali...
Psychoneuroendocrinology. 164 (2024) - p. 107006 , 2024

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

7

Optimizing Storage and Computational Efficiency: An Efficie..:

Faghani, Shahriar ; Codipilly, D. Chamil ; Moassefi, Mana..
Mayo Clinic Proceedings: Digital Health. 1 (2023) 3 - p. 419-424 , 2023

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

8

Artificial Intelligence in Radiology: Overview of Applicati..:

Moassefi, Mana ; Faghani, Shahriar ; Khosravi, Bardia..
Seminars in Roentgenology. 58 (2023) 2 - p. 170-177 , 2023

Link: https://doi.org/10.1053/..

9

PATH-32. COMPARISON OF CLINICAL, RADIOGRAPHIC AND TUMOR GEN..:

Lachance, Daniel ; Decker, Paul ; Kollmeyer, Thomas...
Neuro-Oncology. 25 (2023) Supplement_5 - p. v174-v175 , 2023

Link: https://doi.org/10.1093/..

10

NIMG-57. PERFORMANCE OF DEEP LEARNING IN MGMT PROMOTER METH..:

Conte, Gian Marco ; Moassefi, Mana ; Faghani, Shahriar...
Neuro-Oncology. 25 (2023) Supplement_5 - p. v199-v199 , 2023

Link: https://doi.org/10.1093/..

11

A Comparison of Three Different Deep Learning-Based Models ..:

Faghani, Shahriar ; Khosravi, Bardia ; Moassefi, Mana..
Journal of Digital Imaging. 36 (2023) 3 - p. 837-846 , 2023

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

12

224 EXTERNAL VALIDATION OF A DEEP LEARNING MODEL FOR WHOLE ..:

Codipilly, Don C. ; Faghani, Shahriar ; Sachdeva, Karan...
Gastroenterology. 164 (2023) 6 - p. S-41 , 2023

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

13

Reproducibility of Deep Learning Algorithms Developed for M..:

Moassefi, Mana ; Rouzrokh, Pouria ; Conte, Gian Marco...
Journal of Digital Imaging. 36 (2023) 5 - p. 2306-2312 , 2023

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

14

Development of a deep learning model for the histologic dia..:

Faghani, Shahriar ; Codipilly, D. Chamil ; David Vogelsang...
Gastrointestinal Endoscopy. 96 (2022) 6 - p. 918-925.e3 , 2022

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

15

MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Con..:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,

Yan, Benjamin B. ; Wei, Yujia ; Jagtap, Jaidip Manikrao M.... - p. 80-89 , 2022

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