Ritse M. Mann - RankMe

21 papers Journal 7Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`ed.`	Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care - First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings Deep-Breath@MICCAI Ritse M. Mann, Tianyu Zhang, Tao Tan, Luyi Han, Daniel Truhn, Shuo Li, Yuan Gao, Shannon Doyle, Robert Martí Marly, Jakob Nikolas Kather, Katja Pinker-Domenig, Shandong Wu, Geert Litjens
2024	—	`conf`	Multimodal Breast MRI Language-Image Pretraining (MLIP): An Exploration of a Breast MRI Foundation Model. Deep-Breath@MICCAI Nika Rasoolzadeh, Tianyu Zhang, Yuan Gao, Jarek van Dijk, Qiuhui Yang, Tao Tan, Ritse M. Mann
2024	—	`conf`	One for All: UNET Training on Single-Sequence Masks for Multi-sequence Breast MRI Segmentation. Deep-Breath@MICCAI Jarek van Dijk, Luyi Han, Luuk Balkenende, Nika Rasoolzadeh, Karine R. Morche, Tianyu Zhang, Ritse M. Mann
2023	J	`jnl`	Radiomics and artificial intelligence in breast imaging: a survey. Artif. Intell. Rev. Tianyu Zhang, Tao Tan, Riccardo Samperna, Zhang Li, Yuan Gao, Xin Wang, Luyi Han, Qifeng Yu, Regina G. H. Beets-Tan, Ritse M. Mann
2022	—	`conf`	4D radiomics in dynamic contrast-enhanced MRI: prediction of pathological complete response and systemic recurrence in triple-negative breast cancer. Computer-Aided Diagnosis Marco Caballo, Wendelien B. G. Sanderink, Luyi Han, Yuan Gao, Alexandra Athanasiou, Ritse M. Mann
2022	J	`jnl`	In Vivo 3D Power Doppler Imaging Using Continuous Translation and Ultrafast Ultrasound. IEEE Trans. Biomed. Eng. Chuan Chen, Gijs A. G. M. Hendriks, Stein Fekkes, Ritse M. Mann, Jan Menssen, Carmen C. N. Siebers, Chris L. de Korte, Hendrik H. G. Hansen
2021	J	`jnl`	Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning. CoRR Fazael Ayatollahi, Shahriar B. Shokouhi, Ritse M. Mann, Jonas Teuwen
2021	J	`jnl`	Quantitative Evaluation of an Automated Cone-Based Breast Ultrasound Scanner for MRI-3D US Image Fusion. IEEE Trans. Medical Imaging Anton V. Nikolaev, Leon de Jong, Gert Weijers, Vincent Groenhuis, Ritse M. Mann, Françoise J. Siepel, Bogdan Mihai Maris, Stefano Stramigioli, Hendrik H. G. Hansen, Chris L. de Korte
2020	J	`jnl`	Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence. Comput. Biol. Medicine Marco Caballo, Domenico R. Pangallo, Ritse M. Mann, Ioannis Sechopoulos
2018	—	`conf`	Can radiologists improve their breast cancer detection in mammography when using a deep learning based computer system as decision support? IWBI Alejandro Rodríguez-Ruiz, Jan-Jurre Mordang, Nico Karssemeijer, Ioannis Sechopoulos, Ritse M. Mann
2018	—	`conf`	How does wide-angle breast tomosynthesis depict calcifications in comparison to digital mammography? A retrospective observer study. IWBI Alejandro Rodríguez-Ruiz, Ruben E. van Engen, Koen Michielsen, Ramona W. Bouwman, Suzan Vreemann, Nico Karssemeijer, Ritse M. Mann, Ioannis Sechopoulos
2016	—	`conf`	A fully automated system for quantification of background parenchymal enhancement in breast DCE-MRI. Computer-Aided Diagnosis Mehmet Ufuk Dalmis, Albert Gubern-Mérida, Cristina Borelli, Suzan Vreemann, Ritse M. Mann, Nico Karssemeijer
2016	—	`conf`	Automated linking of suspicious findings between automated 3D breast ultrasound volumes. Computer-Aided Diagnosis Albert Gubern-Mérida, Tao Tan, Jan van Zelst, Ritse M. Mann, Nico Karssemeijer
2016	—	`conf`	Performance of Breast Cancer Screening Depends on Mammographic Compression. Digital Mammography / IWDM Katharina Holland, Ioannis Sechopoulos, Gerard J. den Heeten, Ritse M. Mann, Nico Karssemeijer
2016	—	`conf`	Quantification of mammographic masking risk with volumetric breast density maps: how to select women for supplemental screening. Computer-Aided Diagnosis Katharina Holland, Carla H. van Gils, Johanna O. P. Wanders, Ritse M. Mann, Nico Karssemeijer
2016	—	`conf`	Simulation and Visualization to Support Breast Surgery Planning. Digital Mammography / IWDM Joachim Georgii, Torben Pätz, Markus Thorsten Harz, Christina Stöcker, Michael Rothgang, Joseph Colletta, Kathy J. Schilling, Margrethe Schlooz-Vries, Ritse M. Mann, Horst K. Hahn
2015	J	`jnl`	Automated localization of breast cancer in DCE-MRI. Medical Image Anal. Albert Gubern-Mérida, Robert Marti, Jaime Melendez, Jakob L. Hauth, Ritse M. Mann, Nico Karssemeijer, Bram Platel
2014	—	`conf`	Chest-wall segmentation in automated 3D breast ultrasound images using thoracic volume classification. Computer-Aided Diagnosis Tao Tan, Jan van Zelst, Wei Zhang, Ritse M. Mann, Bram Platel, Nico Karssemeijer
2013	J	`jnl`	Computer-Aided Detection of Cancer in Automated 3-D Breast Ultrasound. IEEE Trans. Medical Imaging Tao Tan, Bram Platel, Roel Mus, László K. Tabár, Ritse M. Mann, Nico Karssemeijer
2013	—	`conf`	Finding lesion correspondences in different views of automated 3D breast ultrasound. Computer-Aided Diagnosis Tao Tan, Bram Platel, Michael Hicks, Ritse M. Mann, Nico Karssemeijer
2013	—	`conf`	Symmetry-based detection and diagnosis of DCIS in breast MRI. Computer-Aided Diagnosis Abhilash Srikantha, Markus Thorsten Harz, Gillian Newstead, Lei Wang, Bram Platel, Katrin Hegenscheid, Ritse M. Mann, Horst K. Hahn, Heinz-Otto Peitgen