Ansh Kapil

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Weakly Supervised

Domain Adaptation

Microscopy Images

Top Venues

IEEE Trans. Medical Imaging

Comput. Vis. Image Underst.

Publications

Nicolas Brieu, Felix J. Segerer, Ansh Kapil, Philipp Wortmann, Günter Schmidt
Stain Isolation-based Guidance for Improved Stain Translation. CoRR (2022)
Felix Jakob Segerer, Katharina Nekolla, Lorenz Rognoni, Ansh Kapil, Markus Schick, Helen Angell, Günter Schmidt
Novel Deep Learning Approach to Derive Cytokeratin Expression and Epithelium Segmentation from DAPI. CoRR (2022)
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
Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images. IEEE Trans. Medical Imaging 40 (9) (2021)
Nicolas Brieu, Armin Meier, Ansh Kapil, Ralf Schönmeyer, Christos G. Gavriel, Peter D. Caie, Günter Schmidt
Domain Adaptation-based Augmentation for Weakly Supervised Nuclei Detection. CoRR (2019)
Ansh Kapil, Tobias Wiestler, Simon Lanzmich, Abraham Silva, Keith Steele, Marlon Rebelatto, Günter Schmidt, Nicolas Brieu
DASGAN - Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images. CoRR (2019)
Ansh Kapil, Armin Meier, Aleksandra Zuraw, Keith Steele, Marlon Rebelatto, Günter Schmidt, Nicolas Brieu
Deep Semi Supervised Generative Learning for Automated PD-L1 Tumor Cell Scoring on NSCLC Tissue Needle Biopsies. CoRR (2018)
Christian Rupprecht, Ansh Kapil, Nan Liu, Lamberto Ballan, Federico Tombari
Learning without prejudice: Avoiding bias in webly-supervised action recognition. Comput. Vis. Image Underst. 173 (2018)
Christian Rupprecht, Ansh Kapil, Nan Liu, Lamberto Ballan, Federico Tombari
Learning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition. CoRR (2017)