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Thakur, Siddhesh
36  Ergebnisse:
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1

NIMG-25. OPTIMIZATION OF ARTIFICIAL INTELLIGENCE ALGORITHMS..:

Baheti, Bhakti ; Thakur, Siddhesh ; Pati, Sarthak...
Neuro-Oncology.  24 (2022)  Supplement_7 - p. vii167-vii167 , 2022
Link: https://doi.org/10.1093/..
 
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2

NIMG-32. THE FEDERATED TUMOR SEGMENTATION (FETS) INITIATIVE..:

Baid, Ujjwal ; Pati, Sarthak ; Thakur, Siddhesh...
Neuro-Oncology.  23 (2021)  Supplement_6 - p. vi135-vi136 , 2021
Link: https://doi.org/10.1093/..
 
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3

Brain Tumor Segmentation Based on 3D Residual U-Net:

, In: Lecture Notes in Computer Science; Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries,
Bhalerao, Megh ; Thakur, Siddhesh - p. 218-225 , 2020
Link: https://doi.org/10.1007/..
 
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4

Brain extraction on MRI scans in presence of diffuse glioma..:

Thakur, Siddhesh ; Doshi, Jimit ; Pati, Sarthak...
NeuroImage.  220 (2020)  - p. 117081 , 2020
Link: https://doi.org/10.1016/..
 
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5

Reproducibility analysis of multi‐institutional paired expe..:

Pati, Sarthak ; Verma, Ruchika ; Akbari, Hamed...
Medical Physics.  47 (2020)  12 - p. 6039-6052 , 2020
Link: https://doi.org/10.1002/..
 
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6

TMOD-09. GLIOBLASTOMA BIOPHYSICAL GROWTH ESTIMATION USING D..:

Pati, Sarthak ; Sharma, Vaibhav ; Aslam, Heena...
Neuro-Oncology.  22 (2020)  Supplement_2 - p. ii229-ii229 , 2020
Link: https://doi.org/10.1093/..
 
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7

Deep Learning Radiomics Algorithm for Gliomas (DRAG) Model:..:

, In: Lecture Notes in Computer Science; Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries,
Baid, Ujjwal ; Talbar, Sanjay ; Rane, Swapnil... - p. 369-379 , 2019
Link: https://doi.org/10.1007/..
 
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8

NIMG-40. ROBUST MODALITY-AGNOSTIC SKULL-STRIPPING IN PRESEN..:

Thakur, Siddhesh ; Doshi, Jimit ; Min Ha, Sung...
Neuro-Oncology.  21 (2019)  Supplement_6 - p. vi170-vi170 , 2019
Link: https://doi.org/10.1093/..
 
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9

Pose Estimation for Distracted Driver Detection Using Deep ..:

, In: Communications in Computer and Information Science; Computer Vision Applications,
Thakur, Siddhesh ; Baheti, Bhakti ; Gajre, Suhas. - p. 102-114 , 2019
Link: https://doi.org/10.1007/..
 
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10

NIMG-59. ADVERSE EFFECTS OF IMAGE TILING FOR AUTOMATIC DEEP..:

Anthony Reina, G ; Thakur, Siddhesh ; Panchumarthy, Ravi.
Neuro-Oncology.  21 (2019)  Supplement_6 - p. vi174-vi174 , 2019
Link: https://doi.org/10.1093/..
 
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11

GaNDLF: the generally nuanced deep learning framework for s..:

Pati, Sarthak ; Thakur, Siddhesh P. ; Hamamcı, İbrahim Ethem...
Communications Engineering.  2 (2023)  1 - p. , 2023
Link: https://doi.org/10.1038/..
 
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12

Optimization of Deep Learning Based Brain Extraction in MRI..:

, In: Lecture Notes in Computer Science; Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries,
Thakur, Siddhesh P. ; Pati, Sarthak ; Panchumarthy, Ravi... - p. 151-167 , 2022
Link: https://doi.org/10.1007/..
 
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13

Clinically Deployed Computational Assessment of Multiple Sc..:

Thakur, Siddhesh P. ; Schindler, Matthew K. ; Bilello, Michel.
Frontiers in Medicine.  9 (2022)  - p. , 2022
Link: https://doi.org/10.3389/..
 
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14

Expert tumor annotations and radiomics for locally advanced..:

Chitalia, Rhea ; Pati, Sarthak ; Bhalerao, Megh...
Scientific Data.  9 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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15

Estimating Glioblastoma Biophysical Growth Parameters Using..:

, In: Lecture Notes in Computer Science; Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries,
Pati, Sarthak ; Sharma, Vaibhav ; Aslam, Heena... - p. 157-167 , 2021
Link: https://doi.org/10.1007/..
 
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