Ansh Kapil

According to our database, Ansh Kapil authored at least 7 papers between 2018 and 2022.

Collaborative distances:

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

2022

Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI.

Felix Jakob Segerer, Katharina Nekolla, Lorenz Rognoni, Ansh Kapil, Markus Schick, Helen Angell, Günter Schmidt

CoRR, 2022

Stain Isolation-based Guidance for Improved Stain Translation.

Nicolas Brieu, Felix J. Segerer, Ansh Kapil, Philipp Wortmann, Günter Schmidt

CoRR, 2022

2021

Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images.

Ansh Kapil, Armin Meier, Keith Steele, Marlon Rebelatto, Katharina Nekolla, Alexander Haragan, Abraham Silva, Aleksandra Zuraw, Craig Barker, Marietta L. Scott, Tobias Wiestler, Simon Lanzmich, Günter Schmidt, Nicolas Brieu

IEEE Trans. Medical Imaging, 2021

2019

Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection.

Nicolas Brieu, Armin Meier, Ansh Kapil, Ralf Schönmeyer, Christos G. Gavriel, Peter D. Caie, Günter Schmidt

CoRR, 2019

DASGAN - Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images.

Ansh Kapil, Tobias Wiestler, Simon Lanzmich, Abraham Silva, Keith Steele, Marlon Rebelatto, Günter Schmidt, Nicolas Brieu

CoRR, 2019

2018

Learning without prejudice: Avoiding bias in webly-supervised action recognition.

Christian Rupprecht, Ansh Kapil, Nan Liu, Lamberto Ballan, Federico Tombari

Comput. Vis. Image Underst., 2018

Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies.

Ansh Kapil, Armin Meier, Aleksandra Zuraw, Keith Steele, Marlon Rebelatto, Günter Schmidt, Nicolas Brieu

CoRR, 2018