12 citations · 34 across the 7 of their papers we have counts for
7 papers
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data
Sanghoon Lee, Mohamed Amgad, Deepak R. Chittajallu +6
Extracting quantitative phenotypic information from whole-slide images presents significant challenges for investigators who are not experienced in developing image analysis algori…
Learning Clinical Outcomes from Heterogeneous Genomic Data Sources
Safoora Yousefi, Amirreza Shaban, Mohamed Amgad +2
Translating the vast data generated by genomic platforms into reliable predictions of clinical outcomes remains a critical challenge in realizing the promise of genomic medicine la…
Learning Genomic Representations to Predict Clinical Outcomes in Cancer
Safoora Yousefi, Congzheng Song, Nelson Nauata +1
Genomics are rapidly transforming medical practice and basic biomedical research, providing insights into disease mechanisms and improving therapeutic strategies, particularly in c…
Region Templates: Data Representation and Management for Large-Scale Image Analysis
George Teodoro, Tony Pan, Tahsin Kurc +4
Distributed memory machines equipped with CPUs and GPUs (hybrid computing nodes) are hard to program because of the multiple layers of memory and heterogeneous computing configurat…
Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU
George Teodoro, Tahsin Kurc, Jun Kong +2
We investigate and characterize the performance of an important class of operations on GPUs and Many Integrated Core (MIC) architectures. Our work is motivated by applications that…
High-throughput Execution of Hierarchical Analysis Pipelines on Hybrid Cluster Platforms
George Teodoro, Tony Pan, Tahsin M. Kurc +3
We propose, implement, and experimentally evaluate a runtime middleware to support high-throughput execution on hybrid cluster machines of large-scale analysis applications. A hybr…