Zeeshan Nisar

According to our database, Zeeshan Nisar authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification.

Niklas Kormann, Masoud Ramuz, Zeeshan Nisar, Nadine S. Schaadt, Hendrik Annuth, Benjamin Doerr, Friedrich Feuerhake, Thomas Andrew Lampert, Johannes F. Lutzeyer

CoRR, June, 2025

2024

Self-supervised learning in the presence of limited labelled data for digital histopathology. (Apprentissage auto-supervisé en présence de données étiquetées limitées pour l'histopathologie numérique).

Zeeshan Nisar

PhD thesis, 2024

Maximising Histopathology Segmentation using Minimal Labels via Self-Supervision.

Zeeshan Nisar, Thomas Andrew Lampert

CoRR, 2024

StairwayToStain: A Gradual Stain Translation Approach for Glomeruli Segmentation.

Ali Alhaj Abdo, Islem Mhiri, Zeeshan Nisar, Barbara Seeliger, Thomas Andrew Lampert

Proceedings of the MICCAI Workshop on Computational Pathology, 2024

2023

Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks.

Tehseen Zia, Zeeshan Nisar, Shakeeb Murtaza

CoRR, 2023

2022

VANT-GAN: Adversarial Learning for Discrepancy-Based Visual Attribution in Medical Imaging.

Tehseen Zia, Shakeeb Murtaza, Nauman Bashir, David Windridge, Zeeshan Nisar

Pattern Recognit. Lett., 2022

CycleGAN for virtual stain transfer: Is seeing really believing?

Jelica Vasiljevic, Zeeshan Nisar, Friedrich Feuerhake, Cédric Wemmert, Thomas Andrew Lampert

Artif. Intell. Medicine, 2022

Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner.

Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022