Publications
Journal
L. Cafarelli, C. Graëff, T. Lampert, N. Padoy, N. Meyer, D. Armaghan, L. El Amiri. P. Liverneaux, Influence of surgeon expertise on the duration of approach and closure during osteosynthesis of distal radius fractures, Journal of Wrist Surgery, accepted.
A. Díaz, B. Prieto, J. Escobar, T. Lampert, Vampire: A Smart Energy Meter for Synchronous Monitoring in a Distributed Computer System, Journal of Parallel and Distributed Computing, accepted. (link)
M. Obrenović, T. Lampert, M. Ivanović, and P. Gançarski, Learning Domain Invariant Representations of Heterogeneous Image Data, Machine Learning 112: 3659–3684, 2023. (link, code)
H. El Amouri, T. Lampert, P. Gançarski, and C. Mallet, Constrained DTW Preserving Shapelets for Explainable Time-Series Clustering, Pattern Recognition 143: 109804, 2023. (link, pdf)
J. Vasiljević, F. Feuerhake, C. Wemmert, and T. Lampert, HistoStarGAN: A Unified Approach to Stain Normalisation, Stain Transfer and Stain Invariant Segmentation in Renal Histopathology, Knowledge-Based Systems 277: 110780, 2023. (link, pdf)
C. Graeff, T. Lampert, J.-P. Mazellier, N. Padoy, L. El Amiri, P. Liverneaux, The Preliminary Stage in Developing an Artificial Intelligence Algorithm: A Study of the Inter- and Intra-Individual Variability of Phase Annotations in Internal Fixation of Distal Radius Fracture Videos, Artificial Intelligence Surgery 3: 147–159, 2023. (link, pdf)
C. Graeff, L. El Amiri, T. Lampert, J.-P. Mazellier, N. Padoy, M. Cécile Sap, P. Liverneaux, A preliminary step in the development of an artificial intelligence algorithm: a study of the variability of phase annotation in a video of distal radius fracture osteosynthesis among 100 surgeons, Orthopaedics & Traumatology: Surgery & Research, accepted. (link)
J. Vasiljević, Z. Nisar, F. Feuerhake, C. Wemmert, and T. Lampert, CycleGAN for virtual stain transfer: is seeing really believing?, Artificial Intelligence In Medicine 133: 102420, 2022. (link, pdf)
B. Prieto, J. Escobar, J. Gómez-López, A. Díaz, and T. Lampert, 'Energy Efficiency of Personal Computers: A Comparative Analysis', Sustainability, 14 (19): 12829, 2022. (link, pdf)
J. Vasiljević, F. Feuerhake, C. Wemmert, and T. Lampert, 'Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial Networks', Neurocomputing 460: 277–291, 2021. (link, pdf)
O. Merveille, T. Lampert, J. Schmitz, G. Forestier, F. Feuerhake, and C. Wemmert, 'An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology', Computer Methods and Programs in Biomedicine 208: 106157, 2021. (link, pdf, code)
T. Lampert, B. Lafabregue, T.-B.-H. Dao, N. Serrette, C. Vrain, and P. Gançarski, 'Constrained Distance Based Clustering for Satellite Image Time-Series', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (11): 4606–4621, 2019. (link, pdf, code)
T. Lampert, B. Lafabregue, T.-B.-H. Dao, N. Serrette, G. Forestier, B. Crémilleux, C. Vrain, and P. Gançarski, 'Constrained Distance Based Clustering for Time-Series: A Comparative and Experimental Study', Data Mining and Knowledge Discovery 32 (6): 1663–1707, 2018. (link, pdf, code)
T. Lampert, A. Stumpf, and P. Gançarski, 'An Empirical Study into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation', IEEE Transactions on Image Processing 25 (6): 2557–2572, 2016. (link, pdf, code)
T. Lampert, A. Plano, J. Austin, and B. Platt, 'On the Identification of Sleep Stages in Mouse Electroencephalography Time-Series', Journal of Neuroscience Methods 246: 52–64, 2015. (link, pdf, distributor)
C. Bailey, J. Austin, G. Hollier, A. Moulds, M. Freeman, A. Fargus, and T. Lampert, 'Evaluating a Miniature Multisensor Biosignal Recorder for Unsupervised Parkinson's Disease Monitoring', Sensors & Transducers 184 (1): 66–76, 2015. (link, pdf)
T. Lampert and P. Gançarski, 'The Bane of Skew: Uncertain Ranks and Unrepresentative Precision', Machine Learning 97 (1-2): 5-32, 2014. (link, pdf, code) [Also presented at ECML2014]
T. Lampert and S. O'Keefe, 'On the Detection of Tracks in Spectrogram Images', Pattern Recognition 46 (5): 1396–1408, 2013. (link, pdf, code, data)
T. Lampert and S. O'Keefe, 'A Detailed Investigation into Low-Level Feature Detection in Spectrogram Images', Pattern Recognition 44 (9): 2076–2092, 2011. (link, pdf, code, data)
T. Lampert and S. O'Keefe, 'An Active Contour Algorithm for Spectrogram Track Detection', Pattern Recognition Letters 31 (10): 1201–1206, 2010. (link, pdf, code)
T. Lampert and S. O'Keefe, 'A Survey of Spectrogram Track Detection Algorithms', Applied Acoustics 71 (2): 87–100, 2010. (link, pdf) [One of the most cited Applied Acoustics articles and the top read Applied Acoustics article during the 2009 - 2010 Academic Year]
International Conference
M. Obrenović, T. Lampert, M. Ivanović, and P. Gançarski, 'Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints', in Proceedings of the European Conference on Machine Learning, pp. 443-458, Turin, Italy, 2023. (link, code)
H. El Amouri, T. Lampert, P. Gançarski, C. Mallet, 'CDPS: Constrained DTW-Preserving Shapelets', in Proceedings of the European Conference on Machine Learning, pp. 21-37, Grenoble, France, 2022. (link, pdf, code)
M. Parusinski, S. Ibrahim, and T. Lampert, 'A Study on Generalizing Building Extraction Models to Unseen Datasets Using Source Domain Transfer', In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Kaula Lumpur, Malaysia, 12-22 July, 2022. (link)
Z. Nisar, J. Vasiljevic, P. Gançarski, and T. Lampert, 'Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner', In Proceedings of the IEEE International Symposium on Biomedical Imaging, pp. 1-5, Kolkata, India, March 28-31, 2022. (link, pdf)
M. Obrenović, T. Lampert, F. Monde-Kossi, M. Ivanović, and P. Gançarski, 'SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation', MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Virtual, September, 2021. (link, pdf)
J. Vaslijević, F. Feuerhake, C. Wemmert, T. Lampert, 'Self Adversarial Attack as an Augmentation Method for Immunohistochemical Stainings', In Proceedings of the IEEE International Symposium on Biomedical Imaging, pp. 1939-1943, Nice, France, April 13-16, 2021. (link, pdf)
T. Lampert, B. Lafabregue, and P. Gançarski, 'Constrained Distance Based K-Means Clustering for Satellite Image Time-Series', In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 2419–2422, Yokohama, Japan, July 28-August 2, 2019. (link, pdf)
T. Lampert, O. Merveille, J. Schmitz, G. Forestier, F. Feuerhake, and C. Wemmert, 'Strategies for Training Stain Invariant CNNs', In Proceedings of the IEEE International Symposium on Biomedical Imaging, pp. 905–909, Venice, Italy, April 8-11, 2019. (link, pdf)
P. Chahuara, T. Lampert, and P. Gançarski, 'Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression', In Proceedings of the International Conference on Theory and Practice of Digital Libraries, pp. 41–53, Hannover, Germany, September 5–9, 2016. (link, pdf)
J. Vasiljević, M. Ivanović, and T. Lampert, 'The Application of the Topic Modeling to Question Answer Retrieval', In Proceedings of the 6th International Conference on Information Society and Technology, pp. 241–246, Kopaonik, Serbia, February 28–March 2, 2016. (link, pdf)
C. Bailey, G. Hollier, J. Austin, A. Moulds, M. Freeman, A. Fargus, and T. Lampert, 'A Miniature Multisensor Biosignal Data Recorder and its Evaluation for Unsupervised Parkinson’s Disease Data Collection', In Proceedings of the 5th International Conference on Sensor Device Technologies and Applications, pp. 84–92, Lisbon, Portugal, November 16–20, 2014. (link, pdf)
J. Austin, C. Bailey, A. Moulds, G. Hollier, M. Freeman, A. Fargus, T. Lampert, B. Platt, and G. Riedel, 'A Miniaturized 4-Channel, 2KSa/sec Biosignal Data Recorder with 3-Axis Accelerometer and Infra-red Timestamp Function', In Proceedings of the 7th International Conference on Sensor Technologies and Applications, pp. 213–219, Barcelona, Spain, August 25–31, 2013. (link, pdf)
A. Stumpf, T. Lampert, J.-P. Malet, and N. Kerle, 'Multi-scale Line Detection for Landslide Fissure Mapping', In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 5450–5453, Munich, Germany, July 22–27, 2012. (link, pdf)
T. Lampert, N. Pears, and S. O'Keefe, 'A Multi-Scale Piecewise Linear Feature Detector for Spectrogram Tracks', In Proceedings of the IEEE 6th International Conference on Advanced Video and Signal Based Surveillance, pp. 330–335, Genoa, Italy, September 2–4, 2009. (link, pdf)
T. Lampert, S. O'Keefe, and N. Pears, 'Line Detection Methods for Spectrogram Images', In Computer Recognition Systems 3: Proceedings of 6th International Conference on Computer Recognition Systems CORES'09, Advances in Intelligent and Soft Computing, vol. 57, pp. 127–134, Jelenia Góra, Poland, May 25–28, 2009. (link)
T. Lampert and S. O'Keefe, 'A Comparison Framework for Spectrogram Track Detection Algorithms', In Computer Recognition Systems 3: Proceedings of 6th International Conference on Computer Recognition Systems CORES'09, Advances in Intelligent and Soft Computing, vol. 57, pp. 119–126, Jelenia Góra, Poland, May 25–28, 2009. (link)
T. Lampert and S. O'Keefe, 'Active Contour Detection of Linear Patterns in Spectrogram Images', In Proceedings of the 19th International Conference on Pattern Recognition, pp. 1–4, Tampa, Florida, USA, December 8–11, 2008. (link, pdf)
Workshop
S. Zinko, T. Lampert, P. Gançarski, R. Aguejdad, A. Serradj, and C. Weber, 'Spectral Database for Use by the Community', 4ème Colloque du Groupe Hyperspectral de la Société Française de Photogrammétrie et de Télédétection, Grenoble, France, May 11–13, 2016.
I. Merino, G. Durand, F. Gillet-Chaulet, N. Gourmelen, A. Stumpf, T. Lampert, and O. Gagliardini, 'Recession of Thwaites Glacier: Inferring Relevant Processes Using the Ice Sheet Model Elmer/Ice', European Geosciences Union General Assembly, Vienna, Austria, April 27– May 2, 2014. (link)
T. Lampert, A. Perez, and A. Babchenko, 'Multi-Channel Analysis of Micro-Cracks in Reinforced Concrete', Mathematical Modelling of Complex Systems, Paris, France, December 11–13, 2013. (link)
T. Lampert and S. O'Keefe, 'Machine Learning of Harmonic Relationships which Maximise Source Detection and Discrimination', NATO & DSTL Workshop on Machine Intelligence for Autonomous Operations, Lerici, Italy, October 7–8, 2009. (link, pdf)
Theses
'Spectrogram Track Detection: An Active Contour Algorithm', Doctoral Thesis, Department of Computer Science, University of York, U.K., 2010. (pdf, code, data)
'An Investigation into Face Recognition Through Depth Map Slicing', M.Sc. Thesis, School of Engineering, Computer Science and Mathematics, University of Exeter, U.K., 2005. (pdf)
Editorial Duties
Proceedings of the Second York Doctoral Symposium on Computing, Editors, P. Andrews and T. Lampert, University of York, York, UK, Technical Report YCS-2008-434, October 2008. (pdf)