I have been invited to give a talk in the EMBC 2020 pre-conference workshop entitled "Open Challenges in Deep Learning for Biomedical Image Analysis". More details available at ghadazam.github.io

Our study entitled "Accelerating Super-Resolution and Visual Task Analysis in Medical Images" has been published in MDPI Applied Sciences Journal and is available at . The source codes are made publicly available. lnkd.in/gpXxXc8

Our study is now available at medRxiv at medrxiv.org/content/10.110…. To our best knowledge, this is the first study to construct ensembles, perform ensemble-based disease ROI localization, and analyze inter-reader variability and algorithm performance for COVID-19 detection in CXRs.

Our study entitled is now available on #medRxiv at lnkd.in/dCuhnni. This is the first study to construct #ensembles, perform ensemble-based disease #ROI localization, and analyze inter-reader variability and algorithm performance for #covidー19 detection in #CXRs.

The learned weights of the pruned CNN models and U-Net for the publication entitled "Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays" available at lnkd.in/dmYXZnn are made publicly available at lnkd.in/dabpSQs.

In honor of #PeerRevWeek20, I’d like to extend a sincere thank you to the past, present, and future #PeerReviewers that lend their valuable time and expertise in support of my research.

youtu.be/69-yid0wZMo

Excited to share our latest article published in BMC:bmcinfectdis.biomedcentral.com/articles/10.11…. An Android app called Malaria Screener has been developed that utilizes AI to screen thin and thick blood smear images for P. falciparum parasites.

I just peer reviewed an interesting article for the journal PeerJ — Computer Science

#HighlyAccessedPaper #HighlyCitedPaper Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs by Sivaramakrishnan Rajaraman et al. 👉mdpi.com/2076-3417/8/10… #computervision #convolutionalneuralnetworks

I am happy to tweet that our study entitled "Visualization and Interpretation of Convolutional Neural Network Predictions in Detecting Pneumonia in Pediatric Chest Radiographs" x.com/Applsci/status… is one of the highly-accessed publication in the MDPI journal.

My 'Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles' article was published 1 year ago today in #OpenAccess journal PeerJ Publishing peerj.com/articles/8693

Dr. @SameerAntani and I invite submissions for the special issue entitled “Artificial Intelligence in Image-based Screening and Diagnostics of Pulmonary Tuberculosis" published by the MDPI Diagnostics journal. ( Web of Science IF: 3.11) mdpi.com/journal/diagno…

Check out "Healthcare’s AI Future: A Conversation with Fei-Fei Li & Andrew Ng" eventbrite.com/e/healthcares-… Eventbrite

The preprint of our study entitled “Improved TB classification using bone-suppressed chest radiographs” is now available at arxiv.org/ftp/arxiv/pape…. Bone suppression models helped in learning a compact feature space and improve model sensitivity toward TB classification.

Congratulations Lillian Spear & coauthors @drsherrywang Alexandra Toscano & @NIHRadiology IRTA Jane D'Imperio for earning 2nd place😀 @AURtweet Trainee Prize Award aur.org/en/awards/2021… on our RP course! folio47.wixsite.com/rp-course with > 20 imaging presentations; including video!

Sivaramakrishnan Rajaraman's publications at dblp.org/pid/149/5858 #dblp

lnkd.in/eUwg_6jR