Publications
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My Google scholar page |
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AI for Pathology and Cancer Diagnostics |
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AI for Pathology: Peer-reviewed publications |
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N. Abele, K. Tiemann, T. Krech, A. Wellmann, C. Schaaf, F. Laenger, A. Peters, A. Donner, F. Keil, K. Daifalla, M. Mackens, A. Mamilos, E. Minin, M. Krümmelbein, L. Krause, M. Stark, A. Zapf, M. Paepper, A. Hartmann, T. Lang Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics Modern Pathology 2023 Online version PDF (Journal website) |
| Sunil Badve, George L Kumar, Josef Rüschoff, Hans-Ulrich Schildhaus, Tobias Lang, Felix Faber, Khalid Daifalla, Maria Karasarides A roadmap for single cell annotation using artificial intelligence algorithms – A case study of PD-L1 IHC expression analysis in gastric cancer biopsies European Congress of Pathology (ECP) 2023 Online version |
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| P. Frey, A. Mamilos, E. Minin, R. Banisch, S. Günther, C. Schmidt, N. Abele, A. Hartmann, P. Fasching, M. Rübner, H. Huebner, T. Lang, R. Erber AI-based HER2-low IHC scoring in breast cancer across multiple sites, clones, and scanners American Society for Clinical Oncology (ASCO) 2023 Online version |
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| R. Erber, R. Banisch, C. Schaaf, N. Abele, F. Keil, J. James, P. Maxwell, M. Päpper, P. Frey, K. Daifalla, S. Günther, A. Hartmann, T. Lang AI-based accurate PD-L1 IHC assessment in non-small cell lung cancer across multiple sites and scanners Annals of Oncology 34, S725 2023 Online version |
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| R. Erber, P. Frey, F. Keil, M. Gronewold, N. Abele, W. Rezner, T. Beister, K. Daifalla, M. Päpper, S. Springenberg, A. Hartmann, T. Lang An AI System for accurate Ki-67 IHC assessment in breast cancer following the IKWG whole section global scoring protocol European Society For Medical Oncology (ESMO) Open 8(1) 2023 Online version |
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Homeyer, A., Geißler, C., Schwen, L., ..., Lang, T., et al. Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology Modern Pathology 2022 PDF (Journal website) |
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F. Decroos, S. Springenberg, T. Lang, M. Päpper, A. Zapf, D. Metze, V. Steinkraus, A. Böer-Auer A Deep Learning Approach for Histopathological Diagnosis of Onychomycosis: Not Inferior to Analogue Diagnosis by Histopathologists Acta Dermato-Venereologica 2021 PDF (Journal website) |
AI for Pathology: Podcasts and professional journals |
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Book Chapter Tobias Lang, Ralf Banisch, Sebastian Springenberg Bilderkennung in der Krebsdiagnostik mit KI In: Wie Künstliche Intelligenz unser Leben prägt: KI verständlich erklärt (Haufe Fachbuch) Verlag-Produktseite Preprint (PDF) 2022 |
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Podcast Datenkasper-Podcast mit Mindpeak CTO & Co-Founder Dr. Tobias Lang Topics: AI in Pathology and Mindpeak On Datenkasper website On Spotify 2022 |
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Journal article Holger Hauspurg, Tobias Lang Maschinelles Lernen und digitale Pathologie Journal Onkologie 4/2021 2021 |
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Technical specification Felix Faber, Nora Bartels, M. Päpper, Tobias Lang, et al. Leitfaden für die Entwicklung von Deep-Learning-Bilderkennungssystemen in der Medizin (Guideline for the development of deep learning image recognition systems in medicine) DIN SPEC 13288:2021-03 (Deutsches Institut für Normung) 2021 Publisher website |
AI for Cheminformatics, Robotics, Recommender Systems |
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AI for Cheminformatics, Robotics, Recommender Systems:
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Tobias Lang, Matthias Rettenmeier
Understanding Consumer Behavior with Recurrent Neural Networks Int. Workshop on Machine Learning Methods for Recommender Systems (MLRec@SDM) 2017 |
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Tobias Lang, Florian Flachsenberg, Ulrike von Luxburg, Matthias Rarey
Feasibility of Active Machine Learning for Multiclass Compound Classification Journal of Chemical Information and Modeling (JCIM) 2016 Journal website |
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Sebastian Höfer, Tobias Lang, Oliver Brock
Extracting Kinematic Background Knowledge from Interactions Using Task-Sensitive Relational Learning Int. Conference on Robotics and Automation (ICRA) 2014 |
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Johannes Kulick, Marc Toussaint, Tobias Lang, Manuel Lopes
Active Learning for Teaching a Robot Grounded Relational Symbols Int. Joint Conf. on Artificial Intelligence (IJCAI) 2013 |
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Nikolay Jetchev, Tobias Lang, Marc Toussaint
Learning Grounded Relational Symbols from Continuous Data for Abstract Reasoning Int. Conference on Robotics and Automation (ICRA) - Workshop on Autonomous Learning 2013 |
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Tobias Lang, Marc Toussaint, Kristian Kersting
Exploration in Relational Domains for Model-based Reinforcement Learning Journal of Machine Learning Research (JMLR) 2012, Volume 13, pages 3725-3768 PDF Bibtex JMLR website |
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Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress Neural Information Processing Systems (NIPS) 2012 |
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Tobias Lang
Planning and Exploration in Stochastic Relational Worlds Ph.D. Thesis, Freie Universität Berlin 2011 PDF Bibtex |
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Pascal Poupart, Tobias Lang, Marc Toussaint
Analyzing and Escaping Local Optima in Planning as Inference for Partially Observable Domains European Conference on Machine Learning (ECML) 2011 PDF Bibtex |
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Tobias Lang, Marc Toussaint
Planning with Noisy Probabilistic Relational Rules Journal of Artificial Intelligence Research (JAIR) 2010, Volume 39, pages 1-49 PDF Bibtex JAIR website Code, simulator movies and additional material |
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Tobias Lang, Marc Toussaint, Kristian Kersting
Exploration in relational worlds European Conference on Machine Learning (ECML) 2010 PDF Bibtex Simulator movies |
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Tobias Lang, Marc Toussaint
Probabilistic backward and forward reasoning in stochastic relational worlds International Conference on Machine Learning (ICML) 2010 PDF Bibtex |
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Marc Toussaint, Nils Plath, Tobias Lang, Nikolay Jetchev
Integrated motor control, planning, grasping and high-level reasoning in a blocks world using probabilistic inference Int. Conference on Robotics and Automation (ICRA) 2010 PDF Bibtex |
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Tobias Lang, Marc Toussaint
Relevance grounding for planning in relational domains European Conference on Machine Learning (ECML) 2009 PDF Bibtex Video lecture Simulator movies |
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Tobias Lang, Marc Toussaint
Approximate inference for planning in stochastic relational worlds International Conference on Machine Learning (ICML) 2009 PDF Bibtex Video lecture Code, simulator movies and additional material |
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Tobias Lang, Christian Plagemann, Wolfram Burgard
Adaptive Non-Stationary Kernel Regression for Terrain Modeling Robotics: Science and Systems (RSS) 2007 PDF Bibtex |
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Tobias Lang
Gaussian Processes for Terrain Modeling M.Sc. Thesis, Albert-Ludwigs-University Freiburg 2007 PDF Bibtex |
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Christian Kaul, Johannes Knabe, Tobias Lang, Volker Sperschneider
Filtering Spam E-Mail with Support Vector Machines PICS - Publications of the Institute of Cognitive Science, University of Osnabrück, Volume 8. 2004 PDF Bibtex |
AI for Cheminformatics, Robotics, Recommender Systems:
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Journal article Burkhardt Funk, Matthias Rettenmeier, Tobias Lang Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen Wirtschaftsinformatik & Management 5/2017 2017 Homepage Springer Manuskript |
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Blog article
Tobias Lang, Matthias Rettenmeier
Deep Learning in Production for Predicting Consumer Behavior Zalando Tech-Blog 2017 |
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Blog article
Tobias Lang
Deep Learning for Understanding Consumer Histories Zalando Tech-Blog Video at code.talks 2016 2016 |
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Journal article Marc Toussaint, Tobias Lang, Nikolay Jetchev Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen at-Automatisierungstechnik 2013 |
