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Watch how the A-Team won the RocHackHealth Health Care Data Hackathon

Thursday, April 20, 2017



RocHackHealth was a health care data hackathon hosted by the Rochester Center for Health Informatics at the University of Rochester Clinical and Translational Science Institute. Healthcare data hackers, app designers, entrepreneurs, students, healthcare professionals, and tech developers worked together to solve obstacles in utilizing healthcare data to address three current issues with health care in the United States. The challenges included: predicting and reducing hospital readmissions, identifying physicians who have over prescribed narcotics, and identifying and leveraging social networks of health care providers.

The Wismüller Computational Radiology Lab congratulates the "A-Team", namely Alykhan Alani, Adora DSouza, Arnab Sarkar, and Anas Abidin on winning the ‘RocHackHealth2016, Challenge #1: Predicting Hospital Readmissions’. They successfully developed a novel approach to predict patients who would be readmitted to hospital care by adopting feature selection and machine learning methods. Adora’s and Anas’s success demonstrates our commitment to contribute to data mining and knowledge discovery in medicine, such as big data retrieved from electronic medical health records.

The event was also sponsored by the University of Rochester’s Goergen Institute for Data Science, Rochester Center of Excellence in Data Science, and the Center for Integrated Research and Computing. For more information, visit http://rochackhealth.com/

Read More: Watch how the A-Team won the RocHackHealth Health Care Data Hackathon

Congratulations to Adora on Receiving the SPIE Medical Imaging 2017 Travel Grant

Monday, March 6, 2017

Adora was awarded the SPIE Student Travel Grant to present her work titled Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning at the SPIE Medical Imaging conference at Orlando.

SPIE Medical Imaging 2017 Conference, Orlando, Florida: Wismüller Lab Delivers Five Scientific Oral Presentations

Sunday, February 12, 2017

Adora D’Souza and Anas Abidin received travel grants from the Wismüller Lab for attending the SPIE Medical Imaging 2017 conference in Orlando, FL, where five scientific papers had been accepted for publication and oral presentations entitled (i) Characterizing cartilage microarchitecture on phase-contrast x-ray computed tomography using deep learning with convolutional neural networks, (ii) Classification of micro-CT images using 3D characterization of bone canal patterns in human osteogenesis imperfecta, (iii) Identifying HIV associated neurocognitive disorder using large-scale Granger causality analysis on resting-state functional MRI, (iv) Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis, (v) Investigating changes in resting-state connectivity from functional MRI data in patients with HIV associated neurocognitive disorder using MCA and machine learning.

photo of Anas Abidin presenting
Anas presenting at 2017 SPIE Medical Imaging Conference.

photo of Adora D’Souza presenting
Adora presenting at 2017 SPIE Medical Imaging Conference.

group photo of Dr. Wismüller, Anas Abidin, and Adora D’Souza
Dr. Axel Wismüller, Anas Abidin, Adora D’Souza at the 2017 SPIE Medical Imaging Conference.

Wismüller Laboratory Attends RSNA 2016 (Nov. 27 - Dec. 2)

Monday, January 9, 2017

Dr. Wismüller's research group presented the publication ‘Evaluating Vertebral Bone Strength Prediction by Advanced Characterization of Trabecular Microarchitecture using Scaling Index Computation on Volumetric Quantitative Computed Tomography’, at the Radiological Society of North America (RSNA) Scientific Meeting in Chicago in December. The RSNA is an international society of radiologists, medical physicists and other medical professionals. RSNA hosts the world’s premier radiology forum, drawing approximately 58,000 attendees annually.