Sachin Jambawalikar

24 papers Journal 17Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning. CoRR Hongyi Pan, Gorkem Durak, Elif Keles, Deniz Seyithanoglu, Zheyuan Zhang, Alpay Medetalibeyoglu, Halil Ertugrul Aktas, Andrea Mia Bejar, Ziliang Hong, Yavuz Taktak, Gulbiz Dagoglu Kartal, Sukru Mehmet Erturk, Timurhan Cebeci, Maria Jaramillo Gonzalez, Yury Velichko, Lili Zhao, Emil Agarunov, Federica Proietto Salanitri, Concetto Spampinato, Pallavi Tiwari, Ziyue Xu, Sachin Jambawalikar, Ivo G. Schoots, Marco J. Bruno, Chenchan Huang, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ulas Bagci
2025	J	`jnl`	Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients. CoRR Wanying Dou, Gorkem Durak, Koushik Biswas, Ziliang Hong, Andrea Mia Bejar, Elif Keles, Kaan Akin, Sukru Mehmet Erturk, Alpay Medetalibeyoglu, Marc Sala, Alexander Misharin, Hatice Savas, Mary Salvatore, Sachin Jambawalikar, Drew A. Torigian, Jayaram K. Udupa, Ulas Bagci
2024	J	`jnl`	Deep Learning-Assisted Diffusion Tensor Imaging for Evaluation of the Physis and Metaphysis. J. Imaging Inform. Medicine Phuong T. Duong, Laura Santos, Hao-Yun Hsu, Sachin Jambawalikar, Simukayi Mutasa, Michael K. Nguyen, Andressa Guariento, Diego Jaramillo
2022	—	`conf`	Automated Segmentation of Cervical Anatomy to Interrogate Preterm Birth. PIPPI@MICCAI Alicia B. Dagle, Yu-Cheng Liu, David Crosby, Helen Feltovich, Michael House, Qi Yan, Kristin M. Myers, Sachin Jambawalikar
2022	J	`jnl`	Deep learning prediction of axillary lymph node status using ultrasound images. Comput. Biol. Medicine Shawn Sun, Simukayi Mutasa, Michael Z. Liu, John Nemer, Mary Sun, Maham Siddique, Elise Desperito, Sachin Jambawalikar, Richard S. Ha
2022	J	`jnl`	Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. J. Signal Process. Syst. Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci
2021	J	`jnl`	3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices. J. Digit. Imaging Yu-Cheng Liu, Yulin Liu, Rami Vanguri, Daniel Litwiller, Michael Z. Liu, Hao-Yun Hsu, Richard Ha, Hiram Shaish, Sachin Jambawalikar
2021	—	`conf`	Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. MLMI@MICCAI Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
2021	J	`jnl`	Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. CoRR Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
2020	J	`jnl`	Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification. Comput. Biol. Medicine Michael Z. Liu, Rami Vanguri, Simukayi Mutasa, Richard Ha, Yu-Cheng Liu, Terry Button, Sachin Jambawalikar
2020	J	`jnl`	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 Joseph N. Stember, Kalijah L. Terilli, E. Perez, Murad Megjhani, Cathleen A. Cooper, Sachin Jambawalikar, Soojin Park
2020	J	`jnl`	The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR 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
2019	J	`jnl`	Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography. J. Digit. Imaging Joseph N. Stember, Peter D. Chang, Danielle M. Stember, Michael Z. Liu, Jack Grinband, Christopher G. Filippi, Philip Meyers, Sachin Jambawalikar
2019	—	`conf`	Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. DART/MIL3ID@MICCAI Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar
2019	J	`jnl`	Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans. CoRR Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar
2019	—	`ch.`	Deep Learning for Functional Brain Connectivity: Are We There Yet? Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Harish RaviPrakash, Arjun Watane, Sachin Jambawalikar, Ulas Bagci
2019	J	`jnl`	Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. J. Digit. Imaging 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
2019	J	`jnl`	Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. J. Digit. Imaging Richard Ha, Peter D. Chang, Eralda Mema, Simukayi Mutasa, Jenika Karcich, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar
2019	J	`jnl`	Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm. J. Digit. Imaging Richard Ha, Simukayi Mutasa, Jenika Karcich, Nishant Gupta, Eduardo Pascual Van Sant, John Nemer, Mary Sun, Peter D. Chang, Michael Z. Liu, Sachin Jambawalikar
2019	J	`jnl`	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 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
2018	J	`jnl`	Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset. J. Digit. Imaging Richard Ha, Peter D. Chang, Jenika Karcich, Simukayi Mutasa, Reza Fardanesh, Ralph T. Wynn, Michael Z. Liu, Sachin Jambawalikar
2018	—	`conf`	Fusion of aerial lidar and images for road segmentation with deep CNN. SIGSPATIAL/GIS Biswas Parajuli, Piyush Kumar, Tathagata Mukherjee, Eduardo L. Pasiliao, Sachin Jambawalikar
2008	—	`conf`	A Note on Approximate Minimum Volume Enclosing Ellipsoid of Ellipsoids. ICCSA Workshops Sachin Jambawalikar, Piyush Kumar
2004	—	`conf`	Hand Recognition Using Geometric Classifiers. ICBA Yaroslav Bulatov, Sachin Jambawalikar, Piyush Kumar, Saurabh Sethia