Author

Oliver Lester Saldanha

Observed names: O. L. Saldanha, O. Saldanha, O.L. Saldanha, Oliver L. Saldanha, Oliver Saldanha, Saldanha, Oliver, Saldanha, Oliver L, Saldanha, Oliver L., Saldanha, Oliver Lester

Institutions: Heidelberg University, University Hospital Heidelberg, National Center for Tumor Diseases, University Hospital Carl Gustav Carus, Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden

Observed institutions: Sun Yat-sen University, Heidelberg University, University Hospital Heidelberg, Sixth Affiliated Hospital of Sun Yat-sen University, National Center for Tumor Diseases, Universitätsklinikum Aachen, University Hospital Leipzig, University Hospital Carl Gustav Carus, Else Kröner Fresenius Center for Digital Health, Technische Universität Dresden, RWTH Aachen University, Leipzig University

ORCID: 0000-0002-3594-7590

Observed ORCID: 0000-0002-3594-7590

OpenAlex ID: A5076609492

Swarm learning for decentralized artificial intelligence in cancer histopathology

2022 · Oliver Lester Saldanha, Philip Quirke, et al. · Nature Medicine · 225

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Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

2022 · Narmin Ghaffari Laleh, Hannah Sophie Muti, et al. · Medical Image Analysis · 179

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An MRI Deep Learning Model Predicts Outcome in Rectal Cancer

2023 · Xiaofeng Jiang, Hengyu Zhao, et al. · Radiology · 127

Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

2022 · A. Echle, N. Ghaffari Laleh, et al. · ESMO Open · 111

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End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study

2023 · Xiaofeng Jiang, Michael Hoffmeister, et al. · The Lancet Digital Health · 107

Encrypted federated learning for secure decentralized collaboration in cancer image analysis

2023 · Daniel Truhn, Soroosh Tayebi Arasteh, et al. · Medical Image Analysis · 92

Self-supervised attention-based deep learning for pan-cancer mutation prediction from histopathology

2023 · Oliver Lester Saldanha, Chiara M. L. Loeffler, et al. · npj Precision Oncology · 86

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Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer

2021 · Scarlet Brockmoeller, Amelie Echle, et al. · The Journal of Pathology · 78

Benchmarking foundation models as feature extractors for weakly supervised computational pathology

2025 · Peter Neidlinger, Omar S. M. El Nahhas, et al. · Nature Biomedical Engineering · 75

Direct prediction of genetic aberrations from pathology images in gastric cancer with swarm learning

2022 · Oliver Lester Saldanha, Hannah Sophie Muti, et al. · Gastric Cancer · 43

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Direct image to subtype prediction for brain tumors using deep learning

2023 · Katherine J Hewitt, Chiara M L Löffler, et al. · Neuro-Oncology Advances · 25

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Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis

2024 · Alessio Gerussi, Oliver Lester Saldanha, et al. · JHEP Reports · 19

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Vision-language models for automated video analysis and documentation in laparoscopic surgery: a proof-of-concept study

2025 · Esther Helene Stueker, Fiona R. Kolbinger, et al. · International Journal of Surgery · 15

Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging

2025 · Oliver Lester Saldanha, Jiefu Zhu, et al. · Communications Medicine · 15

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Benchmarking foundation models as feature extractors for weakly-supervised computational pathology

2024 · Neidlinger, Peter, Nahhas, Omar S. M. El, et al. · arXiv (Cornell University) · 13

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DeepMed: A unified, modular pipeline for end-to-end deep learning in computational pathology

2021 · Marko van Treeck, Didem Cifci, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 13

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Benchmarking artificial intelligence methods for end-to-end computational pathology

2021 · Narmin Ghaffari Laleh, Hannah Sophie Muti, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 13

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Weakly Supervised Deep Learning Can Analyze Focal Liver Lesions in Contrast-Enhanced Ultrasound

2025 · Adil Oezsoy, James Alexander Brooks, et al. · Digestion · 9

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Self-supervised deep learning for pan-cancer mutation prediction from histopathology

2022 · Oliver Lester Saldanha, Chiara M. L. Loeffler, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 9

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Prediction models for hormone receptor status in female breast cancer do not extend to males: further evidence of sex-based disparity in breast cancer

2023 · Subarnarekha Chatterji, Jan Moritz Niehues, et al. · npj Breast Cancer · 8

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Clinical decision support in hematological malignancies using a case-grounded AI agent

2026 · Julian Zoller, Michael Kalz, et al. · Nature Medicine · 3

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Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks

2025 · Fiona R. Kolbinger, Max Kirchner, et al. · medRxiv · 3

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Deep Learning-Based Detection of Malignant Bile Duct Stenosis in Fluoroscopy Images of Endoscopic Retrograde Cholangiopancreatography

2024 · Kien Vu Trung, Marcus Hollenbach, et al. · Digestion · 3

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Erratum to ‘Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology’ Medical Image Analysis, Volume 79, July 2022, 102474

2022 · Narmin Ghaffari Laleh, Hannah Sophie Muti, et al. · Medical Image Analysis · 3

Privacy-Preserving Surgical Video Analysis with Swarm Learning — Results from a Multinational Appendectomy Cohort

2026 · Oliver Lester Saldanha, Kevin Pfeiffer, et al. · NEJM AI · 2

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Works count: 47

Citation count: 1,279

H-index: 14

I10-index: 17