About our team
Please review our Projects page for our current areas of work. If you are interested in collaborating with us contact us via email at emoryhitilab AT gmail DOT com
Amara Tariq, Saptarshi Purkayastha, Geetha Priya Padmanaban, Elizabeth Krupinski, Hari Trivedi, Imon Banerjee, Judy Wawira Gichoya.
Journal of the American College of Radiology , vol. 17(11), p. 2020
Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker
International Conference on Artificial Intelligence in Medicine, Springer, 2020, pp. 100--110
Imon Banerjee, Luis de Sisternes, Joelle A Hallak, Theodore Leng, Aaron Osborne, Philip J Rosenfeld, Giovanni Gregori, Mary Durbin, Daniel Rubin
Scientific Reports, Nature Publishing Group, 2020, pp. 1--16
Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jeong, Hari Trivedi, Judy W Gichoya
arXiv preprint arXiv:2006.13262, 2020
Selen Bozkurt, Rohan Paul, Jean Coquet, Ran Sun, Imon Banerjee, James D Brooks, Tina Hernandez-Boussard
Learning health systems, Wiley Online Library, 2020, pp. e10237
This project centers around creating a large dataset of mammograms with ground truth labels extracted from radiology and pathology reports.
We are developing state-of-the-art deep learning models using mammogram imaging and clinical data. BAC auto segmentation -- using deep learningLongitudinal quantification of BAC in 5 patients.Developed deep learning method for segmenting and quantifyin...
Collaborative project with Stanford University and UCSF.
Emory is one of the 7 pilot sites for the American College of Radiology AI Lab to work on federated learning. This is to help improve robustness of machine learning models by improving training across different institutions using heterogeneous datasets
Use machine learning to aid reporting of neurofibromatosis 1 MRI images.
Emory Graduate Course
With the advancement of deep learning, the field of biomedical imaging has exploded in recent years - but for the uninitiated, even loading nth dimensional data can be a challenge!This course will provide a broad overview of biomedical image analysis a...
This course is an introduction to computer science to make serious use of the computer in course work or research. Topics include: fundamental computing concepts, general programming principles, the Unix Operating System, and the Java programming langu...
Achieving best performance for AI in medical imaging across use cases (like humans) need clinical contextual awareness! Published literature review multi-modal data fusion techniques. (Link)
Our paper on “Current clinical applications of #AI in radiology and their best supporting evidence “ just got published in JACRJournal (Link)
New collaboration with KheironMedical to develop AI for breast cancer screening on a racially diverse population of patients
Excited to announce our collaboration with KheironMedical to address racial disparities in breast cancer AI, leveraging 300k screening exams including 50k African American women. (Link)
Reflecting on our work in 2019
Last updated May 1st 2020
Supplemental material for Radiology:AI paper
Our lab collaborates with a large number of academic and industrial entities.
Healthcare Innovation and Translational Informatics lab
Machine learning for Health, Imaging Informatics
1364 Clifton Rd NE Suite AG08
Atlanta, GA 30322
101 Woodruff Circle, Room#4103
Atlanta, GA 30322