Publications


My Google scholar page
Topics:

AI for Pathology and Cancer Diagnostics

AI for Pathology: Peer-reviewed publications

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   
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   
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   
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   
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)    
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

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
Podcast
Datenkasper-Podcast mit Mindpeak CTO & Co-Founder Dr. Tobias Lang
Topics: AI in Pathology and Mindpeak
On Datenkasper website    
On Spotify    
2022
Journal article
Holger Hauspurg, Tobias Lang
Maschinelles Lernen und digitale Pathologie
Journal Onkologie 4/2021
2021
PDF    
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

AI for Cheminformatics, Robotics, Recommender Systems:
Peer-reviewed publications

Tobias Lang, Matthias Rettenmeier
Understanding Consumer Behavior with Recurrent Neural Networks
Int. Workshop on Machine Learning Methods for Recommender Systems (MLRec@SDM)
2017
PDF    
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
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
PDF    
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
PDF    
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
PDF    
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
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
PDF    
Tobias Lang
Planning and Exploration in Stochastic Relational Worlds
Ph.D. Thesis, Freie Universität Berlin
2011
PDF    Bibtex
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      
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
Tobias Lang, Marc Toussaint, Kristian Kersting
Exploration in relational worlds
European Conference on Machine Learning (ECML)
2010
PDF    Bibtex      
Simulator movies
Tobias Lang, Marc Toussaint
Probabilistic backward and forward reasoning in stochastic relational worlds
International Conference on Machine Learning (ICML)
2010
PDF     Bibtex
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      
Tobias Lang, Marc Toussaint
Relevance grounding for planning in relational domains
European Conference on Machine Learning (ECML)
2009
PDF    Bibtex       Video lecture
Simulator movies
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
Tobias Lang, Christian Plagemann, Wolfram Burgard
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
Robotics: Science and Systems (RSS)
2007
PDF    Bibtex
Tobias Lang
Gaussian Processes for Terrain Modeling
M.Sc. Thesis, Albert-Ludwigs-University Freiburg
2007
PDF    Bibtex
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:
Professional journals and blogs

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
Blog article
Tobias Lang, Matthias Rettenmeier
Deep Learning in Production for Predicting Consumer Behavior
Zalando Tech-Blog
2017
Blog article
Tobias Lang
Deep Learning for Understanding Consumer Histories
Zalando Tech-Blog
Video at code.talks 2016
2016
Journal article
Marc Toussaint, Tobias Lang, Nikolay Jetchev
Kognitive Robotik - Herausforderungen an unser Verständnis natürlicher Umgebungen
at-Automatisierungstechnik
2013
PDF