Sachin Jambawalikar - Concepedia

Author

Sachin Jambawalikar

Columbia University Irving Medical Center ORCID

Also Known As

Jambawalikar, Sachin, S Jambawalikar, S. Jambawalikar, S.R. Jambawalikar, Sachin Jambawalikar, Sachin R Jambawalikar, Sachin R. Jambawalikar, Sachin S. Jambawalikar, Sachin R. Jambawalikar, Ulas Bagci

130

Publications

3.2K

Citations

H-Index

Concepts

All Affiliations

Columbia University Irving Medical Center Columbia University NewYork–Presbyterian Hospital Memorial Sloan Kettering Cancer Center New York Hospital Queens

About

Sachin Jambawalikar is an author at Columbia University Irving Medical Center specializing in radiology, engineering, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	17	19	1K
2	Health Sciences	12	13	724
3	Medicine	10	10	1K
4	Biomedical Engineering	5	5	274
5	Public Health	3	3	524

Sachin Jambawalikar

Publications

2.4K

Citations

H-Index

Page 1

	Year	Citations
COVID-19 neuropathology at Columbia University Irving Medical Center/New York Presbyterian Hospital Kiran T. Thakur, Emily Happy Miller, Michael Glendinning, Brain Neurological DisorderCovid-19 NeuropathologyCerebrovascular DiseaseCovid-19 EpidemiologyMicroglial Nodules	2021	386
Cardiac-Specific Conversion Factors to Estimate Radiation Effective Dose From Dose-Length Product in Computed Tomography Sigal Trattner, Sandra S. Halliburton, Carla M. Thompson, JACC. Cardiovascular imaging	2017	164
Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset Richard Ha, Christine Chin, Jenika Karcich, Journal of Digital Imaging Convolutional Neural NetworkBreast OncologyEngineeringMachine LearningMedicine	2018	128
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm Richard Ha, Simukayi Mutasa, Jenika Karcich, Journal of Digital Imaging Convolutional Neural NetworkEngineeringMachine LearningMedical ImagingMedical Image Computing	2019	120
Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study Hiram Shaish, Andrew Aukerman, R. Vanguri, European Radiology Surgical OncologyNeoadjuvant Rectal ScoreMedical ImagingRadiation TherapyPretreatment Prediction	2020	116
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography Joseph N. Stember, Peter Chang, Danielle Stember, Journal of Digital Imaging Convolutional Neural NetworkEngineeringDiagnostic ImagingImage AnalysisNeurology	2018	110
Investigating the mechanical function of the cervix during pregnancy using finite element models derived from high-resolution 3D MRI María del Pilar Fernández, Michael House, Sachin Jambawalikar, Computer Methods in Biomechanics & Biomedical Engineering EngineeringMechanical EngineeringMagnetic ResonanceGynecologyBiomedical Engineering	2015	88
Chronic convection-enhanced delivery of topotecan for patients with recurrent glioblastoma: a first-in-patient, single-centre, single-arm, phase 1b trial Eleonora F. Spinazzi, Michael Argenziano, Pavan S. Upadhyayula, The Lancet Oncology Neuro-oncologyChronic Convection-enhanced DeliveryMedicineSurgeryTumor Targeting	2022	79
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks Joseph N. Stember, Haydar Çelik, Elizabeth A. Krupinski, Journal of Digital Imaging Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningSegmentation Masks	2019	73
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset Richard Ha, Peter Chang, Jenika Karcich, Journal of Digital Imaging EngineeringMedical ImagingDeep LearningBiomedical ImagingComputer-aided Diagnosis	2018	70

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