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ORCIDMohsen Ghafoorian
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2020 – today
- 2024
[i15]Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian:
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. CoRR abs/2402.16848 (2024)- [i14]Florian Langer, Jihong Ju, Georgi Dikov, Gerhard Reitmayr, Mohsen Ghafoorian:
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos. CoRR abs/2403.15161 (2024) - 2023
- [j4]Kai-En Lin, Alex Trevithick, Ke-Li Cheng, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi:
PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN. Comput. Graph. Forum 42(4): i-x (2023) - [c15]Xuepeng Shi, Georgi Dikov, Gerhard Reitmayr, Tae-Kyun Kim, Mohsen Ghafoorian:
3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces. ICCV 2023: 9099-9109 - [c14]Jihong Ju, Ching Wei Tseng, Oleksandr Bailo, Georgi Dikov, Mohsen Ghafoorian:
DG-Recon: Depth-Guided Neural 3D Scene Reconstruction. ICCV 2023: 18138-18148 - [i13]Kai-En Lin, Alex Trevithick, Ke-Li Cheng, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi:
PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN. CoRR abs/2306.17123 (2023) - 2022
- [c13]Osman Ülger, Julian Wiederer, Mohsen Ghafoorian, Vasileios Belagiannis, Pascal Mettes:
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. BMVC 2022: 968 - [i12]Osman Ülger, Julian Wiederer, Mohsen Ghafoorian, Vasileios Belagiannis, Pascal Mettes:
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. CoRR abs/2212.02875 (2022) - 2020
- [c12]Masoumeh Bakhtiariziabari, Mohsen Ghafoorian:
Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation. MLMI@MICCAI 2020: 513-522 - [i11]Erik Stammes, Tom F. H. Runia, Michael Hofmann, Mohsen Ghafoorian:
Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation. CoRR abs/2011.04626 (2020)
2010 – 2019
- 2019
- [j3]Alireza Mehrtash
, Mohsen Ghafoorian, Guillaume Pernelle, Alireza Ziaei, Friso G. Heslinga, Kemal Tuncali, Andriy Fedorov, Ron Kikinis, Clare M. Tempany, William M. Wells III, Purang Abolmaesumi, Tina Kapur:
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Trans. Medical Imaging 38(4): 1026-1036 (2019) - [j2]Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38(11): 2556-2568 (2019) - [c11]Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian:
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. ICCV Workshops 2019: 951-960 - [i10]Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels:
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR abs/1904.00682 (2019) - [i9]Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian:
I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. CoRR abs/1908.02711 (2019) - [i8]Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring:
3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations. CoRR abs/1908.10235 (2019) - 2018
- [c10]Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann:
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection. ECCV Workshops (1) 2018: 256-272 - [c9]K. Standvoss, T. Crijns, L. Goerke, D. Janssen, Simon Kern, T. van Niedek, J. van Vugt, N. Alfonso Burgos, Emma J. Gerritse, J. Mol, D. van de Vooren, Mohsen Ghafoorian, Thomas L. A. van den Heuvel, Rashindra Manniesing:
Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2018: 105751D - [c8]Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel:
Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR. Medical Imaging: Image Processing 2018: 105742U - [i7]Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel:
Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR. CoRR abs/1801.05040 (2018) - [i6]Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann:
EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection. CoRR abs/1806.05525 (2018) - [i5]Hans Meine, Grzegorz Chlebus, Mohsen Ghafoorian, Itaru Endo, Andrea Schenk:
Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT. CoRR abs/1810.04017 (2018) - 2017
- [j1]Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez:
A survey on deep learning in medical image analysis. Medical Image Anal. 42: 60-88 (2017) - [c7]Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov:
Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis 2017: 101342A - [c6]Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III:
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) 2017: 516-524 - [i4]Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez:
A Survey on Deep Learning in Medical Image Analysis. CoRR abs/1702.05747 (2017) - [i3]Mohsen Ghafoorian, Alireza Mehrtash, Tina Kapur, Nico Karssemeijer, Elena Marchiori, Mehran Pesteie, Charles R. G. Guttmann, Frank-Erik de Leeuw, Clare M. Tempany, Bram van Ginneken, Andriy Fedorov, Purang Abolmaesumi, Bram Platel, William M. Wells III:
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR abs/1702.07841 (2017) - 2016
- [c5]Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, I. W. M. van Uden, Frank-Erik de Leeuw, Elena Marchiori, Bram van Ginneken, Bram Platel:
Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation. ISBI 2016: 1414-1417 - [c4]Koen Vijverberg, Mohsen Ghafoorian, Inge W. M. van Uden, Frank-Erik de Leeuw, Bram Platel, Tom Heskes:
A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation. Medical Imaging: Computer-Aided Diagnosis 2016: 97851C - [i2]Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Inge van Uden, Clara I. Sánchez, Geert Litjens, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel:
Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. CoRR abs/1610.04834 (2016) - [i1]Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, Mayra Bergkamp, Joost Wissink, Jiri Obels, Karlijn Keizer, Frank-Erik de Leeuw, Bram van Ginneken, Elena Marchiori, Bram Platel:
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin. CoRR abs/1610.07442 (2016) - 2015
- [c3]Thomas L. A. van den Heuvel, Mohsen Ghafoorian, A. W. van der Eerden, B. M. Goraj, T. M. J. C. Andriessen, Bart M. ter Haar Romeny, Bram Platel:
Computer aided detection of brain micro-bleeds in traumatic brain injury. Medical Imaging: Computer-Aided Diagnosis 2015: 94142F - [c2]Mohsen Ghafoorian, Nico Karssemeijer, Inge van Uden, Frank-Erik de Leeuw, Tom Heskes, Elena Marchiori, Bram Platel:
Small white matter lesion detection in cerebral small vessel disease. Medical Imaging: Computer-Aided Diagnosis 2015: 941411 - 2013
- [c1]Mohsen Ghafoorian, Nasrin Taghizadeh, Hamid Beigy:
Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm. AAAI Spring Symposium: Lifelong Machine Learning 2013
Coauthor Index
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