Amjad Khan - Universitat Bern | 人才画像

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Bio

Amjad Khan currently works at the Institute of Pathology, University of Bern. His most recent publication is 'Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology'.

Research Interests

Papers共 22 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Morpho-molecular Features of Epithelial Mesenchymal Transition Associate with Clinical Outcome in Patients with Rectal Cancer

Mauro Gwerder, Cansaran Saygili Demir,Hannah L. Williams,Alessandro Lugli, Cristina Graham Martinez,joanna Kowal,Amjad Khan,Philipp Kirchner,Thibaud Koessler,Martin D. Berger, Martin Weigert,Inti Zlobec

crossref（2024）

Cited0Views0Bibtex

The Complexity of Shapes: How the Circularity of Tumor Nodules Affects Prognosis in Colorectal Cancer

Nelleke P. M. Brouwer,Amjad Khan,John-Melle Bokhorst, Fazael Ayatollahi,Jennifer Hay,Francesco Ciompi,Femke Simmer,Niek Hugen,Johannes H. W. de Wilt,Martin D. Berger,Alessandro Lugli,Inti Zlobec,Joanne Edwards,Iris D. Nagtegaal

Modern Pathologyno. 1 (2023): 100376-100376

Cited2Views0WOSBibtex

Assisting Pathologists in Determining the N-stage of Colorectal Cancer Patients Using a Deep Learning Workflow

Amjad Khan,Nelleke Brouwer,Annika Blank,Felix Muller,Davide Soldini,Aurelia Noske, Elisabeth Gaus,Simone Brandt,Iris Nagtegaal,Heather Dawson,Jean-Philippe Thiran,Aurel Perren,Alessandro Lugli,Inti Zlobec

LABORATORY INVESTIGATIONno. 3 (2023): S1296-S1297

Cited0Views0Bibtex

Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning with an Ensemble Model

Amjad Khan,Nelleke Brouwer,Annika Blank,Felix Mueller,Davide Soldini,Aurelia Noske, Elisabeth Gaus,Simone Brandt,Iris Nagtegaal,Heather Dawson,Jean-Philippe Thiran,Aurel Perren,Alessandro Lugli,Inti Zlobec

Modern Pathology（2023）

Cited26Views0WOSBibtex

Detection of Lung Cancer Metastases in Lymph Nodes Using a Multiple Instance Learning Approach

Mauro Gwerder,Amjad Khan,Christina Neppl,Inti Zlobec

Medical Imaging Digital Pathology（2022）

Cited1Views0EIBibtex

Group Affinity Weakly Supervised Segmentation from Prior Selected Tissue in Colorectal Histopathology Images

H-G Nguyen,A. Khan,H. Dawson,A. Lugli,I Zlobec

Medical Imaging Digital Pathology（2022）

Cited0Views0EIBibtex

Impact of Scanner Variability on Lymph Node Segmentation in Computational Pathology

Amjad Khan,Andrew Janowczyk,Felix Müller,Annika Blank,Huu Giao Nguyen,Christian Abbet,Linda Studer,Alessandro Lugli,Heather Dawson,Jean-Philippe Thiran,Inti Zlobec

Journal of Pathology Informatics（2022）

Cited7Views0WOSBibtex

Systematic Comparison of Deep Learning Strategies for Weakly Supervised Gleason Grading

Sebastian Otalora,Manfredo Atzori,Amjad Khan,Oscar Jimenez-del-Toro,Vincent Andrearczyk,Henning Mueller

Medical Imaging 2020 Digital Pathology（2020）

Cited14Views0EIBibtex

Generalizing Convolution Neural Networks on Stain Color Heterogeneous Data for Computational Pathology

Amjad Khan,Manfredo Atzori,Sebastian Otalora,Vincent Andrearczyk,Henning Mueller

Medical Imaging 2020 Digital Pathology（2020）

Cited10Views0EIBibtex

Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology

Sebastian Otalora,Manfredo Atzori,Vincent Andrearczyk,Amjad Khan,Henning Mueller

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY（2019）

Cited69Views0WOSBibtex

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