Publications:

Karki M, Kantipudi K, Haghighi B, Bui V, Yang F,Yu H, Harris M, Kassim YM, Hurt DE, Rosenthal A, Yaniv Z, Jaeger S. Training Data for Machine Learning to Enhance Patient-Centered Outcomes Research (PCOR) Data Infrastructure — A Case Study in Tuberculosis Drug Resistance.

Yu H, Mohammed FO, Hamid MA, Yang F, Kassim YM, Mohamed AO, Maude RJ, Ding XC, Owusu ED, Yerlikaya S, Dittrich S, Jaeger S . Patient-level performance evaluation of a smartphone-based malaria diagnostic application. Malar J 22, 33 (2023). https://doi.org/10.1186/s12936-023-04446-0.

Karki M, Kantipudi K, Yu H, Yang F, Kassim Y, Yaniv Z,Jaeger S. Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, accepted on July 15th, 2021, will be held virtually October 31 – November 4, 2021.

Kassim YM, Yang F, Yu H, Maude RJ, Jaeger S. Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images. Diagnostics (Basel). 2021 Oct 27;11(11):1994. doi: 10.3390/diagnostics11111994. PMID: 34829341; PMCID: PMC8621537.

Ufuktepe DK, Yang F, Kassim YM, Yu H, Maude RJ, Palaniappan K, Jaeger S. Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. 50th Annual IEEE AIPR 2021, held virtually October 12-14, 2021.

Kassim YM, Palaniappan K, Yang F, Poostchi M, Palaniappan N, Maude RJ, Antani S, Jaeger S. Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. IEEE J Biomed Health Inform. 2021 May;25(5):1735-1746. doi: 10.1109/JBHI.2020.3034863. Epub 2021 May 11.