Active contour detection of linear patterns in spectrogram images. - Thomas Andrew Lampert; Simon O'Keefe (ICPR, 2008)

A Multi-scale Piecewise-Linear Feature Detector for Spectrogram Tracks. - Thomas Andrew Lampert; Nick E. Pears; Simon O'Keefe (AVSS, 2009)

A Comparison Framework for Spectrogram Track Detection Algorithms. - Thomas Andrew Lampert; Simon E. M. O'Keefe (Computer Recognition Systems 3, 2009)

Line Detection Methods for Spectrogram Images. - Thomas Andrew Lampert; Simon E. M. O'Keefe; Nick E. Pears (Computer Recognition Systems 3, 2009)

An active contour algorithm for spectrogram track detection. - Thomas Andrew Lampert; Simon O'Keefe (Pattern Recognit. Lett., 2010)

A detailed investigation into low-level feature detection in spectrogram images. - Thomas Andrew Lampert; Simon O'Keefe (Pattern Recognit., 2011)

Multi-scale line detection for landslide fissure mapping. - André Stumpf; Thomas Andrew Lampert; Jean-Philippe Malet; Norman Kerle (IGARSS, 2012)

On the detection of tracks in spectrogram images. - Thomas Andrew Lampert; Simon O'Keefe (Pattern Recognit., 2013)

The bane of skew - Uncertain ranks and unrepresentative precision. - Thomas Andrew Lampert; Pierre Gançarski (Mach. Learn., 2014)

Retrieving and Ranking Similar Questions from Question-Answer Archives Using Topic Modelling and Topic Distribution Regression. - Pedro Chahuara; Thomas Andrew Lampert; Pierre Gançarski (TPDL, 2016)

An Empirical Study Into Annotator Agreement, Ground Truth Estimation, and Algorithm Evaluation. - Thomas Andrew Lampert; André Stumpf; Pierre Gançarski (IEEE Trans. Image Process., 2016)

Constrained distance based clustering for time-series: a comparative and experimental study. - Thomas Andrew Lampert; Thi-Bich-Hanh Dao; Baptiste Lafabregue; Nicolas Serrette; Germain Forestier; Bruno Crémilleux; Christel Vrain; Pierre Gançarski (Data Min. Knowl. Discov., 2018)

Constrained Distance based K-Means Clustering for Satellite Image Time-Series. - Thomas Andrew Lampert; Baptiste Lafabregue; Pierre Gançarski (IGARSS, 2019)

Strategies for Training Stain Invariant CNNS. - Thomas Andrew Lampert; Odyssée Merveille; Jessica Schmitz; Germain Forestier; Friedrich Feuerhake; Cédric Wemmert (ISBI, 2019)

Constrained Distance-Based Clustering for Satellite Image Time-Series. - Thomas Andrew Lampert; Baptiste Lafabregue; Thi-Bich-Hanh Dao; Nicolas Serrette; Christel Vrain; Pierre Gançarski (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Constrained Clustering: Current and New Trends. - Pierre Gançarski; Thi-Bich-Hanh Dao; Bruno Crémilleux; Germain Forestier; Thomas Andrew Lampert (A Guided Tour of Artificial Intelligence Research (2) (II), 2020)

An automatic framework to study the tissue micro-environment of renal glomeruli in differently stained consecutive digital whole slide images. - Odyssée Merveille; Thomas Andrew Lampert; Jessica Schmitz; Germain Forestier; Friedrich Feuerhake; Cédric Wemmert (CoRR, 2020)

Self Adversarial Attack as an Augmentation Method for Immunohistochemical Stainings. - Jelica Vasiljevic; Friedrich Feuerhake; Cédric Wemmert; Thomas Andrew Lampert (ISBI, 2021)

SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation. - Mihailo Obrenovic; Thomas Andrew Lampert; François Monde-Kossi; Milos R. Ivanovic; Pierre Gançarski (MACLEAN@PKDD/ECML, 2021)

An automatic framework for fusing information from differently stained consecutive digital whole slide images: A case study in renal histology. - Odyssée Merveille; Thomas Andrew Lampert; Jessica Schmitz; Germain Forestier; Friedrich Feuerhake; Cédric Wemmert (Comput. Methods Programs Biomed., 2021)

Towards histopathological stain invariance by Unsupervised Domain Augmentation using generative adversarial networks. - Jelica Vasiljevic; Friedrich Feuerhake; Cédric Wemmert; Thomas Andrew Lampert (Neurocomputing, 2021)

A Study on Generalizing Building Extraction Models to Unseen Datasets Using Source Domain Transfer. - Michal Parusinski; Saleh Ibrahim; Thomas Andrew Lampert (IGARSS, 2022)

Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner. - Zeeshan Nisar; Jelica Vasiljevic; Pierre Gançarski; Thomas Andrew Lampert (ISBI, 2022)

CDPS: Constrained DTW-Preserving Shapelets. - Hussein El Amouri; Thomas Andrew Lampert; Pierre Gançarski; Clément Mallet (ECML/PKDD (1), 2022)

CycleGAN for virtual stain transfer: Is seeing really believing? - Jelica Vasiljevic; Zeeshan Nisar; Friedrich Feuerhake; Cédric Wemmert; Thomas Andrew Lampert (Artif. Intell. Medicine, 2022)

Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints. - Mihailo Obrenovic; Thomas Andrew Lampert; Milos R. Ivanovic; Pierre Gançarski (ECML/PKDD (5), 2023)

HistoStarGAN: A unified approach to stain normalisation, stain transfer and stain invariant segmentation in renal histopathology. - Jelica Vasiljevic; Friedrich Feuerhake; Cédric Wemmert; Thomas Andrew Lampert (Knowl. Based Syst., 2023)

Learning domain invariant representations of heterogeneous image data. - Mihailo Obrenovic; Thomas Andrew Lampert; Milos R. Ivanovic; Pierre Gançarski (Mach. Learn., 2023)

Constrained DTW preserving shapelets for explainable time-series clustering. - Hussein El Amouri; Thomas Andrew Lampert; Pierre Gançarski; Clément Mallet (Pattern Recognit., 2023)

StairwayToStain: A Gradual Stain Translation Approach for Glomeruli Segmentation. - Ali Alhaj Abdo; Islem Mhiri; Zeeshan Nisar; Barbara Seeliger; Thomas Andrew Lampert (COMPAY@MICCAI, 2024)

Maximising Histopathology Segmentation using Minimal Labels via Self-Supervision. - Zeeshan Nisar; Thomas Andrew Lampert (CoRR, 2024)

Vampire: A smart energy meter for synchronous monitoring in a distributed computer system. - Antonio F. Díaz; Beatriz Prieto; Juan José Escobar; Thomas Andrew Lampert (J. Parallel Distributed Comput., 2024)

Evolution of computing energy efficiency: Koomey's law revisited. - Alberto Prieto; Beatriz Prieto; Juan José Escobar; Thomas Andrew Lampert (Clust. Comput., 2025)

HIEGNet: A Heterogenous Graph Neural Network Including the Immune Environment in Glomeruli Classification. - Niklas Kormann; Masoud Ramuz; Zeeshan Nisar; Nadine S. Schaadt; Hendrik Annuth; Benjamin Doerr; Friedrich Feuerhake; Thomas Andrew Lampert; Johannes F. Lutzeyer (CoRR, 2025)