Laxmi Gupta

Dr.-Ing.

Laxmi Gupta

Research Scientist

• Room: 111
• Phone: +49 241 80 27860
• Email: lfb@lfb.rwth-aachen.de

Curriculum Vitae

Journal publications

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  2022article

  Laxmi Gupta, Barbara Mara Klinkhammer, Claudia Seikrit, Nina Fan, Nassim Bouteldja, Philipp Gräbel, Michael Gadermayr, Peter Boor and Dorit Merhof

  Large-scale extraction of interpretable features provides new insights into kidney histopathology – a proof-of-concept study

  In: Journal of Pathology Informatics

  BibTeX

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  2019article

  Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer and Dorit Merhof

  Generative Adversarial Networks for Facilitating Stain-Independent Supervised & Unsupervised Segmentation: A Study on Kidney Histology

  In: IEEE Transactions on Medical Imaging

  BibTeXPDF

Conference publications

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  2021inproceedings

  Michael Gadermayr, Maximilian Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof and Burkhard Gess

  An asymmetric cycle-consistency loss for dealing with many-to-one mappings in image translation: a study on thigh MR scans

  In: IEEE International Symposium on Biomedical Imaging (ISBI)

  BibTeXPDF

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  2019inproceedings

  Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr

  GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy

  In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

  BibTeXPDF

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  2019inproceedings

  Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr

  Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology

  In: 2nd International Conference on Medical Imaging with Deep Learning (MIDL)

  BibTeXPDF

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  2019incollection

  Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor and Dorit Merhof

  Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations

  In: 2nd International Conference on Medical Imaging with Deep Learning (MIDL)

  BibTeXPDF

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  2018inproceedings

  Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof and Michael Gadermayr

  Stain Independent Segmentation of Whole Slide Images: A Case Study in Renal Histology

  In: IEEE International Symposium on Biomedical Imaging (ISBI)

  BibTeXPDF