Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. - Zeeshan Nisar; Jelica Vasiljevic; Pierre Gançarski; Thomas Andrew Lampert (ISBI, 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)

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)

Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks. - Tehseen Zia; Zeeshan Nisar; Shakeeb Murtaza (CoRR, 2023)

StairwayToStain: A Gradual Stain Translation Approach for Glomeruli Segmentation. - Ali Alhaj Abdo; Islem Mhiri; Zeeshan Nisar; Barbara Seeliger; Thomas Andrew Lampert (COMPAY@MICCAI, 2024)

Maximising Histopathology Segmentation using Minimal Labels via Self-Supervision. - Zeeshan Nisar; Thomas Andrew Lampert (CoRR, 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 (2024)

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, 2025)