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ORCIDZeeshan Nisar
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2020 – today
- 2024
[b1]Zeeshan Nisar:
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). University of Strasbourg, France, 2024- [i3]Zeeshan Nisar, Thomas Andrew Lampert:
Maximising Histopathology Segmentation using Minimal Labels via Self-Supervision. CoRR abs/2412.15389 (2024) - 2023
- [i2]Tehseen Zia, Zeeshan Nisar, Shakeeb Murtaza:
Counterfactual Explanation and Instance-Generation using Cycle-Consistent Generative Adversarial Networks. CoRR abs/2301.08939 (2023) - 2022
- [j2]Jelica Vasiljevic
, Zeeshan Nisar, Friedrich Feuerhake, Cédric Wemmert, Thomas Andrew Lampert:
CycleGAN for virtual stain transfer: Is seeing really believing? Artif. Intell. Medicine 133: 102420 (2022) - [j1]Tehseen Zia, Shakeeb Murtaza, Nauman Bashir, David Windridge, Zeeshan Nisar:
VANT-GAN: Adversarial Learning for Discrepancy-Based Visual Attribution in Medical Imaging. Pattern Recognit. Lett. 156: 112-118 (2022) - [c1]Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert:
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. ISBI 2022: 1-5 - [i1]Zeeshan Nisar, Jelica Vasiljevic, Pierre Gançarski, Thomas Andrew Lampert:
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. CoRR abs/2205.04368 (2022)
Coauthor Index
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