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ORCIDSachin Jambawalikar
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2020 – today
- 2022
[j12]Shawn Sun, Simukayi Mutasa, Michael Z. Liu, John Nemer, Mary Sun, Maham Siddique, Elise Desperito, Sachin Jambawalikar
, Richard S. Ha:
Deep learning prediction of axillary lymph node status using ultrasound images. Comput. Biol. Medicine 143: 105250 (2022)- [j11]Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci:
Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. J. Signal Process. Syst. 94(5): 497-510 (2022) - [c8]Alicia B. Dagle, Yu-Cheng Liu, David Crosby, Helen Feltovich, Michael House, Qi Yan, Kristin M. Myers, Sachin Jambawalikar:
Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth. PIPPI@MICCAI 2022: 48-59 - 2021
- [j10]Yu-Cheng Liu, Yulin Liu, Rami Vanguri, Daniel Litwiller, Michael Z. Liu, Hao-Yun Hsu, Richard Ha, Hiram Shaish, Sachin Jambawalikar:
3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices. J. Digit. Imaging 34(5): 1199-1208 (2021) - [j9]Maria Eleni Karakatsani, Antonios N. Pouliopoulos, Michael Liu, Sachin R. Jambawalikar, Elisa E. Konofagou:
Contrast-Free Detection of Focused Ultrasound-Induced Blood-Brain Barrier Opening Using Diffusion Tensor Imaging. IEEE Trans. Biomed. Eng. 68(8): 2499-2508 (2021) - [c7]Ahana Roy Choudhury, Sachin R. Jambawalikar, Piyush Kumar, Venkat Sumanth Reddy Bommireddy:
Distortion Removal and Deblurring of Single-Shot DWI MRI Scans. MLMIR@MICCAI 2021: 65-75 - [c6]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. MLMI@MICCAI 2021: 396-405 - [i3]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. CoRR abs/2104.02869 (2021) - 2020
- [j8]Michael Z. Liu, Rami Vanguri, Simukayi Mutasa, Richard Ha, Yu-Cheng Liu, Terry Button, Sachin Jambawalikar:
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification. Comput. Biol. Medicine 122: 103798 (2020) - [j7]Joseph N. Stember, Kalijah L. Terilli, E. Perez, Murad Megjhani, Cathleen A. Cooper, Sachin Jambawalikar, Soojin Park:
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 33(4): 930-936 (2020) - [i2]Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari:
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR abs/2004.14003 (2020)
2010 – 2019
- 2019
- [j6]Richard Ha, Peter D. Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar:
Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. J. Digit. Imaging 32(1): 141-147 (2019) - [j5]Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter D. Chang, Michael Z. Liu, Sachin Jambawalikar:
Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm. J. Digit. Imaging 32(2): 276-282 (2019) - [j4]Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, Lawrence H. Schwartz, Sachin Jambawalikar, Ulas Bagci:
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. J. Digit. Imaging 32(4): 597-604 (2019) - [j3]Richard Ha, Christine Chin, Jenika Karcich, Michael Z. Liu, Peter D. Chang, Simukayi Mutasa, Eduardo Pascual Van Sant, Ralph T. Wynn, Eileen Connolly, Sachin Jambawalikar:
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 32(5): 693-701 (2019) - [j2]Joseph N. Stember, Peter D. Chang, Danielle M. Stember, Michael Z. Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar:
Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. J. Digit. Imaging 32(5): 808-815 (2019) - [c5]Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar:
Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. DART/MIL3ID@MICCAI 2019: 63-71 - [p1]Harish RaviPrakash, Arjun Watane, Sachin Jambawalikar, Ulas Bagci:
Deep Learning for Functional Brain Connectivity: Are We There Yet? Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 347-365 - [i1]Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar:
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans. CoRR abs/1908.10208 (2019) - 2018
- [j1]Richard Ha, Peter D. Chang, Jenika Karcich, Simukayi Mutasa, Reza Fardanesh, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar:
Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset. J. Digit. Imaging 31(6): 851-856 (2018) - [c4]Biswas Parajuli, Piyush Kumar, Tathagata Mukherjee, Eduardo L. Pasiliao, Sachin Jambawalikar:
Fusion of aerial lidar and images for road segmentation with deep CNN. SIGSPATIAL/GIS 2018: 548-551 - [c3]Ahana Roy Choudhury, Rami Vanguri, Sachin R. Jambawalikar, Piyush Kumar:
Segmentation of Brain Tumors Using DeepLabv3+. BrainLes@MICCAI (2) 2018: 154-167
2000 – 2009
- 2008
- [c2]Sachin Jambawalikar, Piyush Kumar:
A Note on Approximate Minimum Volume Enclosing Ellipsoid of Ellipsoids. ICCSA Workshops 2008: 478-487 - 2004
- [c1]Yaroslav Bulatov, Sachin Jambawalikar, Piyush Kumar, Saurabh Sethia:
Hand Recognition Using Geometric Classifiers. ICBA 2004: 753-759
Coauthor Index
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