Segui
Sachin Jambawalikar
Sachin Jambawalikar
Columbia University Medical Center
Email verificata su columbia.edu
Titolo
Citata da
Citata da
Anno
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17412018
COVID-19 neuropathology at columbia university irving medical center/New York presbyterian hospital
KT Thakur, EH Miller, MD Glendinning, O Al-Dalahmah, MA Banu, ...
Brain 144 (9), 2696-2708, 2021
3072021
Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE‐MRI derived biomarkers in multicenter oncology trials
A Shukla‐Dave, NA Obuchowski, TL Chenevert, S Jambawalikar, ...
Journal of Magnetic Resonance Imaging 49 (7), e101-e121, 2019
3072019
Hand recognition using geometric classifiers
Y Bulatov, S Jambawalikar, P Kumar, S Sethia
International Conference on Biometric Authentication, 753-759, 2004
1512004
Cardiac-specific conversion factors to estimate radiation effective dose from dose-length product in computed tomography
S Trattner, S Halliburton, CM Thompson, Y Xu, A Chelliah, ...
JACC: Cardiovascular Imaging 11 (1), 64-74, 2018
1352018
Prior to initiation of chemotherapy, can we predict breast tumor response? Deep learning convolutional neural networks approach using a breast MRI tumor dataset
R Ha, C Chin, J Karcich, MZ Liu, P Chang, S Mutasa, E Pascual Van Sant, ...
Journal of digital imaging 32, 693-701, 2019
1232019
Predicting breast cancer molecular subtype with MRI dataset utilizing convolutional neural network algorithm
R Ha, S Mutasa, J Karcich, N Gupta, E Pascual Van Sant, J Nemer, M Sun, ...
Journal of digital imaging 32, 276-282, 2019
1032019
Investigating the mechanical function of the cervix during pregnancy using finite element models derived from high-resolution 3D MRI
M Fernandez, M House, S Jambawalikar, N Zork, J Vink, R Wapner, ...
Computer methods in biomechanics and biomedical engineering 19 (4), 404-417, 2016
1002016
Diffusion tensor imaging of peripheral nerves
S Jambawalikar, J Baum, T Button, H Li, V Geronimo, ES Gould
Skeletal radiology 39, 1073-1079, 2010
872010
Convolutional neural networks for the detection and measurement of cerebral aneurysms on magnetic resonance angiography
JN Stember, P Chang, DM Stember, M Liu, J Grinband, CG Filippi, ...
Journal of digital imaging 32, 808-815, 2019
832019
Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal …
H Shaish, A Aukerman, R Vanguri, A Spinelli, P Armenta, S Jambawalikar, ...
European radiology 30, 6263-6273, 2020
812020
The role of initial chest X-ray in triaging patients with suspected COVID-19 during the pandemic
HW Kim, KM Capaccione, G Li, L Luk, RS Widemon, O Rahman, ...
Emergency radiology 27, 617-621, 2020
772020
Axillary lymph node evaluation utilizing convolutional neural networks using MRI dataset
R Ha, P Chang, J Karcich, S Mutasa, R Fardanesh, RT Wynn, MZ Liu, ...
Journal of digital imaging 31, 851-856, 2018
682018
Eye tracking for deep learning segmentation using convolutional neural networks
JN Stember, H Celik, E Krupinski, PD Chang, S Mutasa, BJ Wood, ...
Journal of digital imaging 32, 597-604, 2019
642019
Dynamic infrared imaging for the detection of malignancy
TM Button, H Li, P Fisher, R Rosenblatt, K Dulaimy, S Li, B O'Hea, ...
Physics in Medicine & Biology 49 (14), 3105, 2004
592004
Convolutional neural network using a breast MRI tumor dataset can predict oncotype Dx recurrence score
R Ha, P Chang, S Mutasa, J Karcich, S Goodman, E Blum, K Kalinsky, ...
Journal of Magnetic Resonance Imaging 49 (2), 518-524, 2019
562019
Segmentation of brain tumors using DeepLabv3+
A Roy Choudhury, R Vanguri, SR Jambawalikar, P Kumar
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
552019
The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset
AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ...
Radiology: Artificial Intelligence 3 (3), e200078, 2021
502021
Convolutional neural network based breast cancer risk stratification using a mammographic dataset
R Ha, P Chang, J Karcich, S Mutasa, EP Van Sant, MZ Liu, ...
Academic radiology 26 (4), 544-549, 2019
472019
Convolutional neural network detection of axillary lymph node metastasis using standard clinical breast MRI
T Ren, R Cattell, H Duanmu, P Huang, H Li, R Vanguri, MZ Liu, ...
Clinical breast cancer 20 (3), e301-e308, 2020
452020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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