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Journal Articles

A Completely Digital Workflow for Differentials in Bone Marrow Cytomorphology Supported By Machine Learning Provides Promising Results in Object Detection

Christian Pohlkamp, Niroshan Nadarajah, Inseok Heo, Dimitros Tziotis, Sven Maschek, Rudolf Drescher, Siegfried Hänselmann, Thomas Lörch, Claudia Haferlach, Wolfgang Kern, Torsten Haferlach

Blood (2021) 138 (Supplement 1): 4922.

https://doi.org/10.1182/blood-2021-152851

Published: 2021

Journal Articles

Automated Peripheral Blood Cell Differentiation Using Artificial Intelligence - a Study with More Than 10,000 Routine Samples in a Specialized Leukemia Laboratory

Torsten Haferlach, Christian Pohlkamp, Inseok Heo, Rudolf Drescher, Siegfried Hänselmann, Thomas Lörch, Wolfgang Kern, Claudia Haferlach, Niroshan Nadarajah

Blood (2021) 138 (Supplement 1): 103.

https://doi.org/10.1182/blood-2021-152447

Published: 2021

Journal Articles

Machine Learning (ML) Can Successfully Support Microscopic Differential Counts of Peripheral Blood Smears in a High Throughput Hematology Laboratory

Christian Pohlkamp, MD, Kapil Jhalani, Niroshan Nadarajah, Inseok Heo, PhD, William Wetton, Rudolf Drescher, PhD, Siegfried Hänselmann, PhD, Thomas Lörch, PhD, Claudia Haferlach, MD, Wolfgang Kern, MD, Torsten Haferlach, MD

Blood (2020) 136 (Supplement 1): 45–46.

https://doi.org/10.1182/blood-2020-140215

Published: 2020

Journal Articles

Employment of Machine Learning Models Yields Highly Accurate Hematological Disease Prediction from Raw Flow Cytometry Matrix Data without the Need for Visualization or Human Intervention

Martha-Lena Müller, PhD, Niroshan Nadarajah, Kapil Jhalani, Inseok Heo, PhD, William Wetton, Claudia Haferlach, MD, Torsten Haferlach, MD, Wolfgang Kern, MD

Blood (2020) 136 (Supplement 1): 11.

https://doi.org/10.1182/blood-2020-140927

Published: 2020