Mohsen Ghafoorian

According to our database, Mohsen Ghafoorian authored at least 26 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning.

Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian

CoRR, 2024

FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos.

Florian Langer, Jihong Ju, Georgi Dikov, Gerhard Reitmayr, Mohsen Ghafoorian

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN.

Kai-En Lin, Alex Trevithick, Ke-Li Cheng, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi

Comput. Graph. Forum, July, 2023

3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces.

Xuepeng Shi, Georgi Dikov, Gerhard Reitmayr, Tae-Kyun Kim, Mohsen Ghafoorian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DG-Recon: Depth-Guided Neural 3D Scene Reconstruction.

Jihong Ju, Ching Wei Tseng, Oleksandr Bailo, Georgi Dikov, Mohsen Ghafoorian

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs.

Osman Ülger, Julian Wiederer, Mohsen Ghafoorian, Vasileios Belagiannis, Pascal Mettes

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2020

Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation.

Erik Stammes, Tom F. H. Runia, Michael Hofmann, Mohsen Ghafoorian

CoRR, 2020

Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation.

Masoumeh Bakhtiariziabari, Mohsen Ghafoorian

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy.

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

IEEE Trans. Medical Imaging, 2019

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

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

IEEE Trans. Medical Imaging, 2019

3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations.

Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring

CoRR, 2019

I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation.

Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT.

Hans Meine, Grzegorz Chlebus, Mohsen Ghafoorian, Itaru Endo, Andrea Schenk

CoRR, 2018

Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR.

Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks.

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection.

Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

A survey on deep learning in medical image analysis.

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

Medical Image Anal., 2017

Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks.

Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities.

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

CoRR, 2016

Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin.

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

CoRR, 2016

A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation.

Koen Vijverberg, Mohsen Ghafoorian, Inge W. M. van Uden, Frank-Erik de Leeuw, Bram Platel, Tom Heskes

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation.

Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, I. W. M. van Uden, Frank-Erik de Leeuw, Elena Marchiori, Bram van Ginneken, Bram Platel

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Computer aided detection of brain micro-bleeds in traumatic brain injury.

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

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Small white matter lesion detection in cerebral small vessel disease.

Mohsen Ghafoorian, Nico Karssemeijer, Inge van Uden, Frank-Erik de Leeuw, Tom Heskes, Elena Marchiori, Bram Platel

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2013

Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm.

Mohsen Ghafoorian, Nasrin Taghizadeh, Hamid Beigy

Proceedings of the Lifelong Machine Learning, 2013