Thomas Wollmann

28 papers Journal 15Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Float8@2bits: Entropy Coding Enables Data-Free Model Compression. CoRR Patrick Putzky, Martin Genzel, Mattes Mollenhauer, Sebastian Schulze, Thomas Wollmann, Stefan Dietzel
2025	J	`jnl`	Choose Your Model Size: Any Compression by a Single Gradient Descent. CoRR Martin Genzel, Patrick Putzky, Pengfei Zhao, Sebastian Schulze, Mattes Mollenhauer, Robert Seidel, Stefan Dietzel, Thomas Wollmann
2025	J	`jnl`	Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation. Trans. Mach. Learn. Res. Martin Genzel, Patrick Putzky, Pengfei Zhao, Sebastian Schulze, Mattes Mollenhauer, Robert Seidel, Stefan Dietzel, Thomas Wollmann
2023	J	`jnl`	Galaxy Training: A powerful framework for teaching! PLoS Comput. Biol. Saskia D. Hiltemann, Helena Rasche, Simon L. Gladman, Hans-Rudolf Hotz, Delphine Larivière, Daniel J. Blankenberg, Pratik D. Jagtap, Thomas Wollmann, Anthony Bretaudeau, Nadia Goué, Timothy J. Griffin, Coline Royaux, Yvan Le Bras, Subina P. Mehta, Anna Syme, Frederik Coppens, Bert Droesbeke, Nicola Soranzo, Wendi A. Bacon, Fotis E. Psomopoulos, Cristóbal Gallardo-Alba, John Davis, Melanie Christine Föll, Matthias Fahrner, Maria A. Doyle, Beatriz Serrano-Solano, Anne Fouilloux, Peter van Heusden, Wolfgang Maier, Dave Clements, Florian Heyl, The Galaxy Team, Björn A. Grüning, Bérénice Batut
2021	—	`conf`	Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs. GI-Jahrestagung Johannes S. Otterbach, Thomas Wollmann
2021	J	`jnl`	Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs. CoRR Johannes S. Otterbach, Thomas Wollmann
2021	J	`jnl`	DAAIN: Detection of Anomalous and Adversarial Input using Normalizing Flows. CoRR Samuel von Baußnern, Johannes S. Otterbach, Adrian Loy, Mathieu Salzmann, Thomas Wollmann
2021	J	`jnl`	Data fusion and smoothing for probabilistic tracking of viral structures in fluorescence microscopy images. Medical Image Anal. Christian Ritter, Thomas Wollmann, Ji Young Lee, Andrea Imle, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr
2021	J	`jnl`	Deep Consensus Network: Aggregating predictions to improve object detection in microscopy images. Medical Image Anal. Thomas Wollmann, Karl Rohr
2021	—	`conf`	MEAL: Manifold Embedding-based Active Learning. ICCVW Deepthi Sreenivasaiah, Johannes S. Otterbach, Thomas Wollmann
2021	J	`jnl`	MEAL: Manifold Embedding-based Active Learning. CoRR Deepthi Sreenivasaiah, Thomas Wollmann
2020	—	`conf`	Deep Learning Particle Detection for Probabilistic Tracking in Fluorescence Microscopy Images. ISBI Christian Ritter, Thomas Wollmann, Ji Young Lee, Ralf Bartenschlager, Karl Rohr
2019	—	`conf`	Black-Box Hyperparameter Optimization for Nuclei Segmentation in Prostate Tissue Images. Bildverarbeitung für die Medizin Thomas Wollmann, Patrick Bernhard, Manuel Gunkel, Delia M. Braun, Jan Meiners, Ronald Simon, Guido Sauter, Holger Erfle, Karsten Rippe, Karl Rohr
2019	—	`conf`	Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy Images. ISBI Thomas Wollmann, Christian Ritter, Jan-Niklas Dohrke, Ji Young Lee, Ralf Bartenschlager, Karl Rohr
2019	J	`jnl`	GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation. Medical Image Anal. Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr
2019	J	`jnl`	Hyperparameter optimization for image analysis: application to prostate tissue images and live cell data of virus-infected cells. Int. J. Comput. Assist. Radiol. Surg. Christian Ritter, Thomas Wollmann, Patrick Bernhard, Manuel Gunkel, Delia M. Braun, Ji Young Lee, Jan Meiners, Ronald Simon, Guido Sauter, Holger Erfle, Karsten Rippe, Ralf Bartenschlager, Karl Rohr
2019	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge. Medical Image Anal. Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Josien P. W. Pluim
2018	—	`conf`	Adversarial domain adaptation to improve automatic breast cancer grading in lymph nodes. ISBI Thomas Wollmann, C. S. Eijkman, Karl Rohr
2018	—	`conf`	Comparison of segmentation methods for tissue microscopy images of glioblastoma cells. ISBI D. Baltissen, Thomas Wollmann, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr
2018	—	`conf`	Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep Learning. DLMIA/ML-CDS@MICCAI Roman Spilger, Thomas Wollmann, Yu Qiang, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr
2018	—	`conf`	Multi-channel Deep Transfer Learning for Nuclei Segmentation in Glioblastoma Cell Tissue Images. Bildverarbeitung für die Medizin Thomas Wollmann, Julia Ivanova, Manuel Gunkel, Inn Chung, Holger Erfle, Karsten Rippe, Karl Rohr
2018	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikaël Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim
2017	—	`conf`	Automatic Grading of Breast Cancer Whole-Slide Histopathology Images. Bildverarbeitung für die Medizin Thomas Wollmann, Karl Rohr
2017	J	`jnl`	Automatic breast cancer grading in lymph nodes using a deep neural network. CoRR Thomas Wollmann, Karl Rohr
2017	—	`conf`	Deep residual Hough voting for mitotic cell detection in histopathology images. ISBI Thomas Wollmann, Karl Rohr
2016	J	`jnl`	User-Centred Design and Usability Evaluation of a Heart Rate Variability Biofeedback Game. IEEE Access Thomas Wollmann, Farhad Abtahi, Aboozar Eghdam, Fernando Seoane, Kaj Lindecrantz, Martin Haag, Sabine Koch
2015	—	`conf`	Formative Evaluation of Smartwatch Exergaming. MuC (Workshopband) Nicola Marsden, Thomas Wollmann, Britta Lohmann, Gerrit Meixner
2014	—	`conf`	Erfolgreiches Lernen durch gamifiziertes E-Learning. GI-Jahrestagung Friedrich Pawelka, Thomas Wollmann, Jakob Stöber, Tommy Vinh Lam