Danielle Fassler

According to our database, Danielle Fassler authored at least 5 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Label-Efficient Deep Color Deconvolution of Brightfield Multiplex IHC Images.

Shahira Abousamra, Danielle Fassler, Rajarsi Gupta, Tahsin Kurc, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth R. Shroyer, Joel H. Saltz, Chao Chen

IEEE Trans. Medical Imaging, February, 2026

2023

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images.

Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Kenneth Shroyer, Joel H. Saltz, Chao Chen

Proceedings of the Medical Imaging with Deep Learning, 2023

2020

Weakly-Supervised Deep Stain Decomposition for Multiplex IHC Images.

Shahira Abousamra, Danielle Fassler, Le Hou, Yuwei Zhang, Rajarsi Gupta, Tahsin M. Kurç, Luisa F. Escobar-Hoyos, Dimitris Samaras, Beatrice Knudson, Kenneth Shroyer, Joel H. Saltz, Chao Chen

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer.

Han Le, Rajarsi R. Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin M. Kurç, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Alison L. Van Dyke, Ashish Sharma, Erich Bremer, Jonas S. Almeida, Joel H. Saltz

CoRR, 2019

Label Super Resolution with Inter-Instance Loss.

Maozheng Zhao, Le Hou, Han Le, Dimitris Samaras, Nebojsa Jojic, Danielle Fassler, Tahsin M. Kurç, Rajarsi R. Gupta, Kolya Malkin, Shahira Abousamra, Kenneth Shroyer, Joel H. Saltz

CoRR, 2019