Sachin Jambawalikar

Orcid: 0000-0003-1839-6798

According to our database1, Sachin Jambawalikar authored at least 22 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI.
J. Signal Process. Syst., 2022

Deep learning prediction of axillary lymph node status using ultrasound images.
Comput. Biol. Medicine, 2022

Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021
Contrast-Free Detection of Focused Ultrasound-Induced Blood-Brain Barrier Opening Using Diffusion Tensor Imaging.
IEEE Trans. Biomed. Eng., 2021

3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices.
J. Digit. Imaging, 2021

Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Distortion Removal and Deblurring of Single-Shot DWI MRI Scans.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020
Surface Point Cloud Ultrasound with Transcranial Doppler: Coregistration of Surface Point Cloud Ultrasound with Magnetic Resonance Angiography for Improved Reproducibility, Visualization, and Navigation in Transcranial Doppler Ultrasound.
J. Digit. Imaging, 2020

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.
CoRR, 2020

Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification.
Comput. Biol. Medicine, 2020

2019
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography.
J. Digit. Imaging, 2019

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.
J. Digit. Imaging, 2019

Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.
J. Digit. Imaging, 2019

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement.
J. Digit. Imaging, 2019

Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.
J. Digit. Imaging, 2019

Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Deep Learning for Functional Brain Connectivity: Are We There Yet?
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
J. Digit. Imaging, 2018

Segmentation of Brain Tumors Using DeepLabv3+.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Fusion of aerial lidar and images for road segmentation with deep CNN.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2008
A Note on Approximate Minimum Volume Enclosing Ellipsoid of Ellipsoids.
Proceedings of the Selected Papers of the Sixth International Conference on Computational Sciences and Its Applications, 2008

2004
Hand Recognition Using Geometric Classifiers.
Proceedings of the Biometric Authentication, First International Conference, 2004


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