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ORCIDDorit Merhof
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- affiliation: RWTH Aachen
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2020 – today
- 2022
[j27]Felix Duong, Michael Gadermayr, Dorit Merhof, Christiane Kuhl, Philipp Bruners, Sven H. Loosen, Christoph Roderburg, Daniel Truhn, Maximilian F. Schulze-Hagen
:
Automated major psoas muscle volumetry in computed tomography using machine learning algorithms. Int. J. Comput. Assist. Radiol. Surg. 17(2): 355-361 (2022)- [c151]Leon Weninger, Jarek Ecke, Chuh-Hyoun Na, Kerstin Jütten, Dorit Merhof:
Diffusion MRI Specific Pretraining by Self-supervision on an Auxiliary Dataset. Bildverarbeitung für die Medizin 2022: 147-152 - [c150]Marcin Kopaczka, Lisa Ernst, Mareike Schulz, René Tolba, Dorit Merhof:
Computation of Traveled Distance of Pigs in an Open Field with Fully Convolutional Neural Networks. Bildverarbeitung für die Medizin 2022: 229-234 - [c149]Yuli Wu, Peter Walter, Dorit Merhof:
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography. Bildverarbeitung für die Medizin 2022: 327-332 - [c148]Oliver Rippel, Nikolaj Schönfelder, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Panoptic Segmentation of Animal Fibers. I2MTC 2022: 1-6 - [c147]Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow. ICPRAI (2) 2022: 186-195 - [c146]Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof:
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations. IMPROVE 2022: 45-56 - [c145]Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Analysis of automatically generated embedding guides for cell classification. IPTA 2022: 1-6 - [c144]Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Spatial Maturity Regression for the Classification of Hematopoietic Cells. IPTA 2022: 1-6 - [c143]Justus Schock, Yu-Chia Lan, Daniel Truhn, Marcin Kopaczka, Stefan Conrad, Sven Nebelung, Dorit Merhof:
Monoplanar CT Reconstruction with GANs. IPTA 2022: 1-6 - [c142]Leon Weninger, Mushawar Ahmad, Dorit Merhof:
From Supervised to Unsupervised Harmonization of Diffusion Mri Acquisitions. ISBI 2022: 1-5 - [c141]Oliver Rippel, Sergen Gülçelik, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Animal Fiber Identification under the Open Set Condition. VISIGRAPP (5: VISAPP) 2022: 36-47 - [i30]Reza Azad, Moein Heidari, Yuli Wu, Dorit Merhof:
Contextual Attention Network: Transformer Meets U-Net. CoRR abs/2203.01932 (2022) - [i29]Reza Azad, Nika Khosravi, Mohammad Dehghanmanshadi, Julien Cohen-Adad, Dorit Merhof:
Medical Image Segmentation on MRI Images with Missing Modalities: A Review. CoRR abs/2203.06217 (2022) - [i28]Reza Azad, Moein Heidari, Julien Cohen-Adad, Ehsan Adeli, Dorit Merhof:
Intervertebral Disc Labeling With Learning Shape Information, A Look Once Approach. CoRR abs/2204.02943 (2022) - [i27]Reza Azad, Nika Khosravi, Dorit Merhof:
SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities. CoRR abs/2204.02961 (2022) - [i26]Moein Heidari, Amirhossein Kazerouni, Milad Soltany Kadarvish, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof:
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation. CoRR abs/2207.08518 (2022) - [i25]Reza Azad, Mohammad T. Al-Antary, Moein Heidari, Dorit Merhof:
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation Model. CoRR abs/2207.13415 (2022) - 2021
- [j26]Oliver Rippel, Patrick Mertens, Eike König, Dorit Merhof:
Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c140]Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification. Bildverarbeitung für die Medizin 2021: 42-47 - [c139]Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Reduction of Stain Variability in Bone Marrow Microscopy Images - Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells. Bildverarbeitung für die Medizin 2021: 141-146 - [c138]Leon Weninger, Maxim Drobjazko, Chuh-Hyoun Na, Kerstin Jütten, Dorit Merhof:
Autoencoder-based Quality Assessment for Synthetic Diffusion-MRI Data. Bildverarbeitung für die Medizin 2021: 338-343 - [c137]Leon Weninger, Andre Gilerson, Dorit Merhof:
Improving Localization of Brain Tumors through 3D GAN Inpainting. EMBC 2021: 2651-2654 - [c136]Oliver Rippel, Peter Haumering, Johannes Brauers, Dorit Merhof:
Anomaly Detection for the Automated Visual Inspection of PET Preform Closures. ETFA 2021: 1-7 - [c135]Oliver Rippel, Dorit Merhof:
Leveraging pre-trained Segmentation Networks for Anomaly Segmentation. ETFA 2021: 1-4 - [c134]Oliver Rippel, Niclas Bilitewski, Khosrow Rahimi, Juliana Kurniadi, Andreas Herrmann, Dorit Merhof:
Identifying Pristine and Processed Animal Fibers using Machine Learning. I2MTC 2021: 1-6 - [c133]Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Guided Representation Learning for the Classification of Hematopoietic Cells. ICCVW 2021: 545-551 - [c132]Reza Azad, Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof, Sergio Escalera:
Deep Frequency Re-calibration U-Net for Medical Image Segmentation. ICCVW 2021: 3267-3276 - [c131]Oliver Rippel, Maximilian Müller, Andreas Münkel, Thomas Gries, Dorit Merhof:
Estimating the Probability Density Function of New Fabrics for Fabric Anomaly Detection. ICPRAM 2021: 463-470 - [c130]Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification. ISBI 2021: 526-530 - [c129]Michael Gadermayr, Maximilian Ernst Tschuchnig, Laxmi Gupta, Nils Krämer, Daniel Truhn, Dorit Merhof, Burkhard Gess:
An Asymmetric Cycle-Consistency Loss For Dealing With Many-To-One Mappings In Image Translation: A Study On Thigh Mr Scans. ISBI 2021: 1182-1186 - [i24]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i23]Oliver Rippel, Arnav Chavan, Chucai Lei, Dorit Merhof:
Transfer Learning Gaussian Anomaly Detection by Fine-Tuning Representations. CoRR abs/2108.04116 (2021) - [i22]Long Chen, Matthias Daub, Hans-Georg Luigs, Marcus Jansen, Martin Strauch, Dorit Merhof:
High-throughput Phenotyping of Nematode Cysts. CoRR abs/2110.07057 (2021) - [i21]Yuli Wu, Peter Walter, Dorit Merhof:
Multiscale Softmax Cross Entropy for Fovea Localization on Color Fundus Photography. CoRR abs/2112.04499 (2021) - [i20]Nassim Bouteldja, Barbara Mara Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof:
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning. CoRR abs/2112.08837 (2021) - 2020
- [j25]Tarek Stiebel, Dorit Merhof:
Brightness Invariant Deep Spectral Super-Resolution. Sensors 20(20): 5789 (2020) - [c128]Marcin Kopaczka, Richard Lindenpütz, Daniel Truhn, Maximilian Schulze-Hagen, Dorit Merhof:
Fully Automated Segmentation of the Psoas Major Muscle in Clinical CT Scans. Bildverarbeitung für die Medizin 2020: 55-60 - [c127]Marcin Kopaczka, Tobias Jacob, Lisa Ernst, Mareike Schulz, René Tolba, Dorit Merhof:
Robust Open Field Rodent Tracking Using a Fully Convolutional Network and a Softargmax Distance Loss. Bildverarbeitung für die Medizin 2020: 242-247 - [c126]Daniel Bug, Felix Bartsch, Nadine Sarah Schaadt, Mathias Wien, Friedrich Feuerhake, Julia Schüler, Eva Oswald, Dorit Merhof:
Scalable HEVC for Histological Whole-Slide Image Compression. Bildverarbeitung für die Medizin 2020: 315-321 - [c125]Daniel Bug, Gregor Nickel, Anne Grote, Friedrich Feuerhake, Eva Oswald, Julia Schüler, Dorit Merhof:
Image Quilting for Histological Image Synthesis. Bildverarbeitung für die Medizin 2020: 322-327 - [c124]Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CVPR Workshops 2020: 1806-1822 - [c123]Yuli Wu, Long Chen, Dorit Merhof:
Improving Pixel Embedding Learning Through Intermediate Distance Regression Supervision for Instance Segmentation. ECCV Workshops (6) 2020: 213-227 - [c122]Dieter Geller, Tarek Stiebel, Oliver Rippel, Jonas Osburg, Volker Lutz, Thomas Gries, Dorit Merhof:
Accurate Stitch Position Identification of Sewn Threads in Textiles. ETFA 2020: 505-512 - [c121]Oliver Rippel, Maximilian Müller, Dorit Merhof:
GAN-based Defect Synthesis for Anomaly Detection in Fabrics. ETFA 2020: 534-540 - [c120]Oliver Rippel, Maximilian Schnabel, Georg-Philipp Paar, Thomas Gries, Dorit Merhof:
Automated Segmentation of Profiled Fibers in cross-sectional Micrographs for Quality Control. I2MTC 2020: 1-6 - [c119]Oliver Rippel, Patrick Mertens, Dorit Merhof:
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. ICPR 2020: 6726-6733 - [c118]Marcin Kopaczka, Justus Schock, Paul Kruse, Dorit Merhof:
Efficient Deep Face Alignment with Explicit Statistical Shape Models in Convolutional Neural Networks. IPTA 2020: 1-6 - [c117]Philipp Gräbel, Gregor Nickel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training. ISBI Workshops 2020: 1-4 - [c116]Philipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet. ISBI 2020: 249-253 - [c115]Long Chen, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Krüssel, Dorit Merhof:
A CNN Framework Based on Line Annotations for Detecting Nematodes in Microscopic Images. ISBI 2020: 508-512 - [c114]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Gustav Mueller-Franzes, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis Based on Probabilistic Segmentations. ISBI 2020: 1188-1192 - [c113]Justus Schock, Marcin Kopaczka, Benjamin Agthe, Jie Huang, Paul Kruse, Daniel Truhn, Stefan Conrad, Gerald Antoch, Christiane Kuhl, Sven Nebelung, Dorit Merhof:
A Method for Semantic Knee Bone and Cartilage Segmentation with Deep 3D Shape Fitting Using Data from the Osteoarthritis Initiative. ShapeMI@MICCAI 2020: 85-94 - [c112]Long Chen, Weiwen Zhang, Yuli Wu, Martin Strauch, Dorit Merhof:
Semi-supervised Instance Segmentation with a Learned Shape Prior. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 94-102 - [c111]Tarek Stiebel, Philipp Seltsam, Dorit Merhof:
Enhancing Deep Spectral Super-resolution from RGB Images by Enforcing the Metameric Constraint. VISIGRAPP (4: VISAPP) 2020: 57-66 - [i19]Long Chen, Martin Strauch, Matthias Daub, Xiaochen Jiang, Marcus Jansen, Hans-Georg Luigs, Susanne Schultz-Kuhlmann, Stefan Krüssel, Dorit Merhof:
A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images. CoRR abs/2004.09795 (2020) - [i18]Long Chen, Martin Strauch, Dorit Merhof:
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints. CoRR abs/2004.09821 (2020) - [i17]Long Chen, Dorit Merhof:
MixNet: Multi-modality Mix Network for Brain Segmentation. CoRR abs/2004.09832 (2020) - [i16]Michael Gadermayr, Maximilian Ernst Tschuchnig, Dorit Merhof, Nils Krämer, Daniel Truhn, Burkhard Gess:
An Asymetric Cycle-Consistency Loss for Dealing with Many-to-One Mappings in Image Translation: A Study on Thigh MR Scans. CoRR abs/2004.11001 (2020) - [i15]Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi:
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. CoRR abs/2005.03412 (2020) - [i14]Oliver Rippel, Leon Weninger, Dorit Merhof:
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018. CoRR abs/2005.09978 (2020) - [i13]Oliver Rippel, Patrick Mertens, Dorit Merhof:
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection. CoRR abs/2005.14140 (2020) - [i12]Yuli Wu, Long Chen, Dorit Merhof:
Improving Pixel Embedding Learning through Intermediate Distance Regression Supervision for Instance Segmentation. CoRR abs/2007.06660 (2020)
2010 – 2019
- 2019
- [j24]Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
CNN cascades for segmenting sparse objects in gigapixel whole slide images. Comput. Medical Imaging Graph. 71: 40-48 (2019) - [j23]Leon Weninger, Christoph Haarburger, Dorit Merhof:
Robustness of Radiomics for Survival Prediction of Brain Tumor Patients Depending on Resection Status. Frontiers Comput. Neurosci. 13: 73 (2019) - [d1]Christoph Haarburger, Justus Schock, Michael Baumgartner, Oliver Rippel, Dorit Merhof:
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis. J. Open Source Softw. 4(38): 1488 (2019) - [j22]Chantal M. W. Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, S. Umesh Rudrapatna, C. John Evans, Samuel St-Jean, Alexander Leemans, Simon Koppers, Dorit Merhof, Aurobrata Ghosh, Ryutaro Tanno, Daniel C. Alexander, Stefano Zappalà, Cyril Charron, Slawomir Kusmia, David E. J. Linden, Derek K. Jones, Jelle Veraart:
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. NeuroImage 195: 285-299 (2019) - [j21]Marcin Kopaczka, Lukas Breuer, Justus Schock, Dorit Merhof:
A Modular System for Detection, Tracking and Analysis of Human Faces in Thermal Infrared Recordings. Sensors 19(19): 4135 (2019) - [j20]Marcin Kopaczka, Raphael Kolk, Justus Schock, Felix Burkhard, Dorit Merhof:
A Thermal Infrared Face Database With Facial Landmarks and Emotion Labels. IEEE Trans. Instrum. Meas. 68(5): 1389-1401 (2019) - [j19]Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer, Dorit Merhof:
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. IEEE Trans. Medical Imaging 38(10): 2293-2302 (2019) - [c110]Martin Strauch, Karl Krüger, Latha Mukunda, Alja Lüdke, C. Giovanni Galizia, Dorit Merhof:
Interpolating Maps between Neural Response Spaces for Chemosensing with Fruit Fly Antenna Sensors. BIBE 2019: 718-725 - [c109]Oliver Rippel, Daniel Truhn, Johannes Thüring, Christoph Haarburger, Christiane K. Kuhl, Dorit Merhof:
Prediction of Liver Function Based on DCE-CT. Bildverarbeitung für die Medizin 2019: 8-13 - [c108]Nassim Bouteldja, Dorit Merhof, Jan Ehrhardt, Mattias P. Heinrich:
Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning. Bildverarbeitung für die Medizin 2019: 23-28 - [c107]Simon Koppers, Edouard Coussoux, Sandro Romanzetti, Kathrin Reetz, Dorit Merhof:
Sodium Image Denoising Based on a Convolutional Denoising Autoencoder. Bildverarbeitung für die Medizin 2019: 98-103 - [c106]Leon Weninger, Qianyu Liu, Dorit Merhof:
Multi-task Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 327-337 - [c105]Marcin Kopaczka, Daniel Tillmann, Lisa Ernst, Justus Schock, René Tolba, Dorit Merhof:
Assessment of Laboratory Mouse Activity in Video Recordings Using Deep Learning Methods. EMBC 2019: 3673-3676 - [c104]Long Chen, Martin Strauch, Matthias Daub, Marcus Jansen, Hans-Georg Luigs, Dorit Merhof:
Instance Segmentation of Nematode Cysts in Microscopic Images of Soil Samples. EMBC 2019: 5932-5936 - [c103]Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. ISBI 2019: 1197-1201 - [c102]Long Chen, Martin Strauch, Dorit Merhof:
Instance Segmentation of Biomedical Images with an Object-Aware Embedding Learned with Local Constraints. MICCAI (1) 2019: 451-459 - [c101]Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. MICCAI (4) 2019: 495-503 - [c100]Daniel Bug, Dennis Eschweiler, Qianyu Liu, Justus Schock, Leon Weninger, Friedrich Feuerhake, Julia Schüler, Johannes Stegmaier, Dorit Merhof:
Combined Learning for Similar Tasks with Domain-Switching Networks. MICCAI (5) 2019: 565-572 - [c99]Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr:
GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. MICCAI (1) 2019: 631-639 - [c98]Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. MIDL 2019: 175-184 - [c97]Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr:
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology. MIDL 2019: 215-224 - [c96]Christoph Haarburger, Nicolas Horst, Daniel Truhn, Mirjam Broeckmann, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multiparametric Magnetic Resonance Image Synthesis using Generative Adversarial Networks. VCBM 2019: 11-15 - [c95]Leon Weninger, Imke Krauhausen, Dorit Merhof:
Semantic Segmentation of Brain Tumors in MRI Data Without any Labels. VCBM 2019: 45-49 - [i11]Marcin Kopaczka, Justus Schock, Dorit Merhof:
Super-realtime facial landmark detection and shape fitting by deep regression of shape model parameters. CoRR abs/1902.03459 (2019) - [i10]Christoph Haarburger, Michael Baumgartner, Daniel Truhn, Mirjam Broeckmann, Hannah Schneider, Simone Schrading, Christiane Kuhl, Dorit Merhof:
Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification. CoRR abs/1906.06058 (2019) - [i9]Christoph Haarburger, Justus Schock, Daniel Truhn, Philippe Weitz, Leon Weninger, Dorit Merhof:
Radiomic Feature Stability Analysis based on Probabilistic Segmentations. CoRR abs/1910.05693 (2019) - 2018
- [j18]Michael Gadermayr, Georg Wimmer, Hubert Kogler, Andreas Vécsei, Dorit Merhof, Andreas Uhl:
Automated classification of celiac disease during upper endoscopy: Status quo and quo vadis. Comput. Biol. Medicine 102: 221-226 (2018) - [j17]Georg Wimmer, Michael Gadermayr, Roland Kwitt, Michael Häfner, Toru Tamaki, Shigeto Yoshida, Shinji Tanaka, Dorit Merhof, Andreas Uhl:
Training of polyp staging systems using mixed imaging modalities. Comput. Biol. Medicine 102: 251-259 (2018) - [j16]Sascha E. A. Muenzing, Martin Strauch, James W. Truman, Katja Bühler, Andreas S. Thum, Dorit Merhof:
larvalign: Aligning Gene Expression Patterns from the Larval Brain of Drosophila melanogaster. Neuroinformatics 16(1): 65-80 (2018) - [c94]Martin Strauch, Latha Mukunda, Alja Lüdke, C. Giovanni Galizia, Dorit Merhof:
Recovering a Chemotopic Feature Space from a Group of Fruit Fly Antenna Chemosensors. BIBE 2018: 163-169 - [c93]Marcin Kopaczka, Thomas Jantos, Dorit Merhof:
Towards Analysis of Mental Stress Using Thermal Infrared Tomography. Bildverarbeitung für die Medizin 2018: 157-162 - [c92]Christoph Haarburger, Peter Langenberg, Daniel Truhn, Hannah Schneider, Johannes Thüring, Simone Schrading, Christiane K. Kuhl, Dorit Merhof:
Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images. Bildverarbeitung für die Medizin 2018: 216-221 - [c91]Tarek Stiebel, Simon Koppers, Philipp Seltsam, Dorit Merhof:
Reconstructing Spectral Images From RGB-Images Using a Convolutional Neural Network. CVPR Workshops 2018: 948-953 - [c90]Tarek Stiebel, Marcel Bosling, Aljoscha Steffens, Thomas Pretz, Dorit Merhof:
An Inspection System for Multi-Label Polymer Classification. ETFA 2018: 623-630 - [c89]Tarek Stiebel, Dieter Geller, Dorit Merhof:
Correction of Thread Position Mismatch in High Precision CNC Sewing. ETFA 2018: 1189-1192 - [c88]Marcin Kopaczka, Raphael Kolk, Dorit Merhof:
A fully annotated thermal face database and its application for thermal facial expression recognition. I2MTC 2018: 1-6 - [c87]Leon Weninger, Marcin Kopaczka, Dorit Merhof:
Defect detection in plain weave fabrics by yarn tracking and fully convolutional networks. I2MTC 2018: 1-6 - [c86]Marcin Kopaczka, Philipp Gräbel, Dorit Merhof:
Robust Statistics for Feature-based Active Appearance Models. ICETE (1) 2018: 587-592 - [c85]Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof:
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. ICISP 2018: 461-469 - [c84]Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Thomas Gries, Dorit Merhof:
Fully Automatic Faulty Weft Thread Detection using a Camera System and Feature-based Pattern Recognition. ICPRAM 2018: 124-132 - [c83]Marcin Kopaczka, Marco Saggiomo, Moritz Güttler, Kevin Kielholz, Dorit Merhof:
Detection and Classification of Faulty Weft Threads Using Both Feature-Based and Deep Convolutional Machine Learning Methods. ICPRAM (Revised Selected Papers) 2018: 141-163 - [c82]Christoph Haarburger, Johannes Ruther, Daniel Truhn, Simone Schrading, Daniel Bug, Christiane K. Kuhl, Dorit Merhof:
Abbreviated breast biopsy procedure by registration of craniocaudal and mediolateral breast MR images. ISBI 2018: 826-830 - [c81]Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr:
Stain independent segmentation of whole slide images: A case study in renal histology. ISBI 2018: 1360-1364 - [c80]Marcin Kopaczka, Justus Schock, Jan Nestler, Kevin Kielholz, Dorit Merhof:
A combined modular system for face detection, head pose estimation, face tracking and emotion recognition in thermal infrared images. IST 2018: 1-6 - [c79]Leon Weninger, Oliver Rippel, Simon Koppers, Dorit Merhof:
Segmentation of Brain Tumors and Patient Survival Prediction: Methods for the BraTS 2018 Challenge. BrainLes@MICCAI (2) 2018: 3-12 - [c78]