E-LIB Suche - Ergebnisse für: Nalawade, Sahil

1

Federated benchmarking of medical artificial intelligence w..:

Karargyris, Alexandros ; Umeton, Renato ; Sheller, Micah J....
Nature Machine Intelligence. 5 (2023) 7 - p. 799-810 , 2023

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

2

Federated Learning for Brain Tumor Segmentation Using MRI a..:

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

Nalawade, Sahil ; Ganesh, Chandan ; Wagner, Ben... - p. 444-454 , 2022

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

3

Multidimensional and Multiresolution Ensemble Networks for ..:

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

Murugesan, Gowtham Krishnan ; Nalawade, Sahil ; Ganesh, Chandan... - p. 448-457 , 2021

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

4

Multidimensional and Multiresolution Ensemble Networks for ..:

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

Murugesan, Gowtham Krishnan ; Nalawade, Sahil ; Ganesh, Chandan... - p. 148-157 , 2020

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

5

Corrigendum to: A novel fully automated MRI-based deep-lear..:

Yogananda, Chandan Ganesh Bangalore ; Shah, Bhavya R ; Yu, Frank F...
Neuro-Oncology Advances. 5 (2023) 1 - p. , 2023

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

6

Simultaneous brain tumor segmentation and molecular profili..:

, In: Brain Tumor MRI Image Segmentation Using Deep Learning Techniques,

Yogananda, Chandan Ganesh Bangalore ; Shah, Bhavya R. ; Yu, Fang F.... - p. 57-79 , 2022

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

7

Disparity Autoencoders for Multi-class Brain Tumor Segmenta..:

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

Bangalore Yogananda, Chandan Ganesh ; Das, Yudhajit ; Wagner, Benjamin C.... - p. 116-124 , 2022

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

8

Contributors:

, In: Brain Tumor MRI Image Segmentation Using Deep Learning Techniques,

Ajay, P. ; Anitha, T. ; Banerjee, Sayak... - p. xiii-xvi , 2022

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

9

A Fully Automated Deep Learning Network for Brain Tumor Seg..:

Yogananda, Chandan Ganesh Bangalore ; Shah, Bhavya R. ; Vejdani-Jahromi, Maryam...
Tomography. 6 (2020) 2 - p. 186-193 , 2020

Link: https://doi.org/10.18383..

10

A novel fully automated MRI-based deep-learning method for ..:

Yogananda, Chandan Ganesh Bangalore ; Shah, Bhavya R ; Yu, Frank F...
Neuro-Oncology Advances. 2 (2020) Supplement_4 - p. iv42-iv48 , 2020

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

11

Fully Automated Brain Tumor Segmentation and Survival Predi..:

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

Bangalore Yogananda, Chandan Ganesh ; Wagner, Ben ; Nalawade, Sahil S.... - p. 99-112 , 2020

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

12

Retracted: A novel fully automated MRI-based deep-learning ..:

Bangalore Yogananda, Chandan Ganesh ; Shah, Bhavya R ; Vejdani-Jahromi, Maryam...
Neuro-Oncology. 22 (2019) 3 - p. 402-411 , 2019

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

13

Up-regulation of cerebral cytochrome-c-oxidase and hemodyna..:

Wang, Xinlong ; Tian, Fenghua ; Reddy, Divya D...
Journal of Cerebral Blood Flow & Metabolism. 37 (2017) 12 - p. 3789-3802 , 2017

Link: https://doi.org/10.1177/..

14

QU-BraTS : MICCAI BraTS 2020 Challenge on QuantifyingUncert..:

Mehta, Raghav ; Filos, Angelos ; Baid, Ujjwal...
, 2022, s. 1-54. , 2022

Link: http://urn.kb.se/resolve..

15

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncert..:

Mehta, Raghav ; Filos, Angelos ; Baid, Ujjwal...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060060/. , 2022

Link: http://www.ncbi.nlm.nih...