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Ritse Mann
Ritse M. Mann
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2020 – today
- 2024
- [j16]Tianyu Zhang
, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jarek van Dijk, Antonio Portaluri, Abel Gonzalez-Huete
IMPORTANT-Net: Integrated MRI multi-parametric increment fusion generator with attention network for synthesizing absent data. Inf. Fusion 108: 102381 (2024) - [j15]Luyi Han
Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI. Medical Image Anal. 92: 103044 (2024) - [j14]Nikita Moriakov
Improving lesion volume measurements on digital mammograms. Medical Image Anal. 97: 103269 (2024) - [c28]Yuan Gao, Hong-Yu Zhou, Xin Wang, Tianyu Zhang, Luyi Han, Chunyao Lu, Xinglong Liang, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports: A Vision-Language Alignment-Guided Model. MICCAI (1) 2024: 133-143 - [c27]Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann:
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. MICCAI (1) 2024: 155-165 - [c26]Luyi Han
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI. MICCAI (11) 2024: 481-491 - [i18]Luyi Han, Tao Tan, Tianyu Zhang, Yuan Gao, Xin Wang, Valentina Longo, Sofía Ventura-Díaz, Anna D'Angelo, Jonas Teuwen, Ritse Mann:
To deform or not: treatment-aware longitudinal registration for breast DCE-MRI during neoadjuvant chemotherapy via unsupervised keypoints detection. CoRR abs/2401.09336 (2024) - [i17]Lidia Garrucho, Claire-Anne Reidel, Kaisar Kushibar, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir:
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR abs/2406.13844 (2024) - [i16]Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann:
Non-Adversarial Learning: Vector-Quantized Common Latent Space for Multi-Sequence MRI. CoRR abs/2407.02911 (2024) - [i15]Xin Wang, Tao Tan, Yuan Gao, Eric Marcus, Luyi Han, Antonio Portaluri, Tianyu Zhang, Chunyao Lu, Xinglong Liang, Regina Beets-Tan, Jonas Teuwen, Ritse Mann:
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms. CoRR abs/2409.06887 (2024) - 2023
- [j13]Tianyu Zhang
Radiomics and artificial intelligence in breast imaging: a survey. Artif. Intell. Rev. 56(S1): 857-892 (2023) - [j12]Xin Wang, Ruisheng Su
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data. Biomed. Signal Process. Control. 84: 104858 (2023) - [c25]Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann:
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. MICCAI (10) 2023: 45-55 - [c24]Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms Using Self-adversarial Learning. MICCAI (7) 2023: 57-67 - [c23]Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Synthesis of Contrast-Enhanced Breast MRI Using T1- and Multi-b-Value DWI-Based Hierarchical Fusion Network with Attention Mechanism. MICCAI (7) 2023: 79-88 - [c22]Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang
GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. MICCAI (10) 2023: 613-622 - [i14]Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang
Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI. CoRR abs/2302.00517 (2023) - [i13]Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann:
IMPORTANT-Net: Integrated MRI Multi-Parameter Reinforcement Fusion Generator with Attention Network for Synthesizing Absent Data. CoRR abs/2302.01788 (2023) - [i12]Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang:
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration. CoRR abs/2306.14687 (2023) - [i11]Luyi Han, Tianyu Zhang, Yunzhi Huang, Haoran Dou, Xin Wang, Yuan Gao, Chunyao Lu, Tao Tan, Ritse Mann:
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis. CoRR abs/2307.00885 (2023) - [i10]Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann:
Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism. CoRR abs/2307.00895 (2023) - [i9]Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann:
DisAsymNet: Disentanglement of Asymmetrical Abnormality on Bilateral Mammograms using Self-adversarial Learning. CoRR abs/2307.02935 (2023) - [i8]Nikita Moriakov, Jim Peters, Ritse Mann, Nico Karssemeijer, Jos van Dijck, Mireille J. M. Broeders, Jonas Teuwen:
Improving Lesion Volume Measurements on Digital Mammograms. CoRR abs/2308.14369 (2023) - [i7]Luyi Han, Tao Tan, Ritse Mann:
Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation. CoRR abs/2311.15090 (2023) - 2022
- [j11]Chuan Chen
In Vivo 3D Power Doppler Imaging Using Continuous Translation and Ultrafast Ultrasound. IEEE Trans. Biomed. Eng. 69(3): 1042-1051 (2022) - [c21]Luyi Han, Yunzhi Huang, Tao Tan, Ritse Mann:
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction Based on Semi-supervised Contrastive Learning. BrainLes@MICCAI (2) 2022: 49-58 - [c20]Marco Caballo, Wendelien B. G. Sanderink, Luyi Han, Yuan Gao, Alexandra Athanasiou, Ritse M. Mann:
4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer. Computer-Aided Diagnosis 2022 - [c19]Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. MICCAI (4) 2022: 258-267 - [i6]Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. CoRR abs/2206.15254 (2022) - [i5]Luyi Han, Yunzhi Huang
Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning. CoRR abs/2210.04255 (2022) - 2021
- [j10]Anton V. Nikolaev
Quantitative Evaluation of an Automated Cone-Based Breast Ultrasound Scanner for MRI-3D US Image Fusion. IEEE Trans. Medical Imaging 40(4): 1229-1239 (2021) - [i4]Fazael Ayatollahi, Shahriar B. Shokouhi, Ritse M. Mann, Jonas Teuwen:
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning. CoRR abs/2102.03932 (2021) - 2020
- [j9]Marco Caballo, Domenico R. Pangallo, Ritse M. Mann, Ioannis Sechopoulos
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence. Comput. Biol. Medicine 118: 103629 (2020)
2010 – 2019
- 2019
- [c18]Marco Caballo, Jonas Teuwen, Ritse Mann, Ioannis Sechopoulos
Breast parenchyma analysis and classification for breast masses detection using texture feature descriptors and neural networks in dedicated breast CT images. Computer-Aided Diagnosis 2019: 109500J - [c17]Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen:
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation. Computer-Aided Diagnosis 2019: 1095002 - 2018
- [c16]Alejandro Rodríguez-Ruiz, Ruben E. van Engen, Koen Michielsen
How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study. IWBI 2018: 107181T - [c15]Alejandro Rodríguez-Ruiz, Jan-Jurre Mordang, Nico Karssemeijer, Ioannis Sechopoulos
Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? IWBI 2018: 1071803 - [c14]Timothy de Moor, Alejandro Rodríguez-Ruiz, Albert Gubern-Mérida, Ritse Mann
Automated lesion detection and segmentation in digital mammography using a u-net deep learning network. IWBI 2018: 1071805 - [i3]Timothy de Moor, Alejandro Rodríguez-Ruiz, Ritse Mann, Jonas Teuwen:
Automated soft tissue lesion detection and segmentation in digital mammography using a u-net deep learning network. CoRR abs/1802.06865 (2018) - [i2]Nikita Moriakov, Koen Michielsen
Deep Learning Framework for Digital Breast Tomosynthesis Reconstruction. CoRR abs/1808.04640 (2018) - [i1]Joris van Vugt, Elena Marchiori, Ritse Mann, Albert Gubern-Mérida, Nikita Moriakov, Jonas Teuwen:
Vendor-independent soft tissue lesion detection using weakly supervised and unsupervised adversarial domain adaptation. CoRR abs/1808.04909 (2018) - 2017
- [j8]Thijs Kooi
Large scale deep learning for computer aided detection of mammographic lesions. Medical Image Anal. 35: 303-312 (2017) - 2016
- [c13]Thijs Kooi, Albert Gubern-Mérida, Jan-Jurre Mordang, Ritse Mann, Ruud Pijnappel, Klaas Schuur, Ard den Heeten, Nico Karssemeijer:
A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography. Digital Mammography / IWDM 2016: 51-56 - [c12]Katharina Holland, Ioannis Sechopoulos
Performance of Breast Cancer Screening Depends on Mammographic Compression. Digital Mammography / IWDM 2016: 183-189 - [c11]Joachim Georgii, Torben Pätz, Markus Thorsten Harz, Christina Stöcker, Michael Rothgang, Joseph Colletta, Kathy J. Schilling, Margrethe Schlooz-Vries, Ritse M. Mann
Simulation and Visualization to Support Breast Surgery Planning. Digital Mammography / IWDM 2016: 257-264 - [c10]Thomy Mertzanidou
Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology. Digital Mammography / IWDM 2016: 367-374 - [c9]Mehmet Ufuk Dalmis, Albert Gubern-Mérida, Cristina Borelli, Suzan Vreemann, Ritse M. Mann
A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI. Computer-Aided Diagnosis 2016: 97850L - [c8]Albert Gubern-Mérida, Tao Tan, Jan van Zelst, Ritse M. Mann
Automated linking of suspicious findings between automated 3D breast ultrasound volumes. Computer-Aided Diagnosis 2016: 97850N - [c7]Katharina Holland, Carla H. van Gils, Johanna O. P. Wanders, Ritse M. Mann
Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening. Computer-Aided Diagnosis 2016: 97850I - 2015
- [j7]Albert Gubern-Mérida, Robert Marti
Automated localization of breast cancer in DCE-MRI. Medical Image Anal. 20(1): 265-274 (2015) - [j6]Albert Gubern-Mérida, Michiel Kallenberg
Breast Segmentation and Density Estimation in Breast MRI: A Fully Automatic Framework. IEEE J. Biomed. Health Informatics 19(1): 349-357 (2015) - [c6]Christina Stöcker, Markus Thorsten Harz, Margrethe Schlooz-Vries, Ritse Mann, Kathy J. Schilling, Joseph Colletta, Joachim Georgii, Torben Pätz, Horst Karl Hahn:
MRI-based visualization and augmented reality for breast surgery planning and guidance. CURAC 2015: 285-286 - 2014
- [j5]Thomy Mertzanidou
MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. Medical Image Anal. 18(4): 674-683 (2014) - [j4]Bram Platel, Roel Mus, Tessa Welte, Nico Karssemeijer, Ritse Mann
Automated Characterization of Breast Lesions Imaged With an Ultrafast DCE-MR Protocol. IEEE Trans. Medical Imaging 33(2): 225-232 (2014) - [c5]Katharina Holland, Michiel Kallenberg
Stability of Volumetric Tissue Composition Measured in Serial Screening Mammograms. Digital Mammography / IWDM 2014: 239-244 - [c4]Thomy Mertzanidou
Towards Spatial Correspondence between Specimen and In-vivo Breast Imaging. Digital Mammography / IWDM 2014: 674-680 - [c3]Tao Tan, Jan van Zelst, Wei Zhang, Ritse M. Mann, Bram Platel, Nico Karssemeijer:
Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification. Computer-Aided Diagnosis 2014: 90351Y - 2013
- [j3]Tao Tan, Bram Platel, Ritse Mann
Chest wall segmentation in automated 3D breast ultrasound scans. Medical Image Anal. 17(8): 1273-1281 (2013) - [j2]Tao Tan, Bram Platel, Roel Mus, László K. Tabár, Ritse M. Mann
Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound. IEEE Trans. Medical Imaging 32(9): 1698-1706 (2013) - [j1]Guido van Schie, Ritse Mann
Generating Synthetic Mammograms From Reconstructed Tomosynthesis Volumes. IEEE Trans. Medical Imaging 32(12): 2322-2331 (2013) - [c2]Abhilash Srikantha, Markus Thorsten Harz, Gillian Newstead, Lei Wang, Bram Platel, Katrin Hegenscheid, Ritse M. Mann, Horst K. Hahn, Heinz-Otto Peitgen:
Symmetry-based detection and diagnosis of DCIS in breast MRI. Computer-Aided Diagnosis 2013: 86701E - [c1]Tao Tan, Bram Platel, Michael Hicks, Ritse M. Mann, Nico Karssemeijer:
Finding lesion correspondences in different views of automated 3D breast ultrasound. Computer-Aided Diagnosis 2013: 86701N
Coauthor Index
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last updated on 2024-12-10 20:49 CET by the dblp team
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