Stain independent segmentation of whole slide images: A case study in renal histology. - Laxmi Gupta; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof; Michael Gadermayr (ISBI, 2018)

GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. - Laxmi Gupta; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof; Michael Gadermayr (MICCAI (1), 2019)

Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. - Michael Gadermayr; Laxmi Gupta; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof (MIDL, 2019)

Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology. - Laxmi Gupta; Barbara Mara Klinkhammer; Peter Boor; Dorit Merhof; Michael Gadermayr (MIDL, 2019)

Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. - Michael Gadermayr; Laxmi Gupta; Vitus Appel; Peter Boor; Barbara Mara Klinkhammer; Dorit Merhof (IEEE Trans. Medical Imaging, 2019)

An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. - Michael Gadermayr; Maximilian Ernst Tschuchnig; Laxmi Gupta; Nils Krämer; Daniel Truhn; Dorit Merhof; Burkhard Gess (ISBI, 2021)

Modeling Adoption of Sustainable Green Energy: An Integrated Approach Using FERA. - Bishal Dey Sarkar; Laxmi Gupta; Ravi Shankar 001 (IEEE Trans. Engineering Management, 2024)

Modelling risks in transition from Industry 4.0 to Industry 5.0. - Ravi Shankar 001; Laxmi Gupta (Ann. Oper. Res., 2024)

Assessment of forest cover dynamics for the detection of deforestation in the Hindu Kush Himalayan region using geospatial and machine learning approaches. - Laxmi Gupta; Jagabandhu Dixit; Prem Chandra Pandey; Manish Pandey (Earth Sci. Informatics, 2025)