Mohsen Ghafoorian

43 papers A* 3A 2B 1Journal 25Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HLA: Hadamard Linear Attention. CoRR Hanno Ackermann, Hong Cai, Mohsen Ghafoorian, Amirhossein Habibian
2026	J	`jnl`	PyramidalWan: On Making Pretrained Video Model Pyramidal for Efficient Inference. CoRR Denis Korzhenkov, Adil Karjauv, Animesh Karnewar, Mohsen Ghafoorian, Amirhossein Habibian
2026	J	`jnl`	ReHyAt: Recurrent Hybrid Attention for Video Diffusion Transformers. CoRR Mohsen Ghafoorian, Amirhossein Habibian
2025	A*	`conf`	AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes. CVPR Andrea Porfiri Dal Cin, Georgi Dikov, Jihong Ju, Mohsen Ghafoorian
2025	J	`jnl`	Attention Surgery: An Efficient Recipe to Linearize Your Video Diffusion Transformer. CoRR Mohsen Ghafoorian, Denis Korzhenkov, Amirhossein Habibian
2025	J	`jnl`	MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models. CoRR Aritra Bhowmik, Denis Korzhenkov, Cees G. M. Snoek, Amirhossein Habibian, Mohsen Ghafoorian
2025	J	`jnl`	Neodragon: Mobile Video Generation using Diffusion Transformer. CoRR Animesh Karnewar, Denis Korzhenkov, Ioannis Lelekas, Adil Karjauv, Noor Fathima, Hanwen Xiong, Vancheeswaran Vaidyanathan, Will Zeng, Rafael Esteves, Tushar Singhal, Fatih Porikli, Mohsen Ghafoorian, Amirhossein Habibian
2024	—	`conf`	FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos. ECCV (15) Florian Langer, Jihong Ju, Georgi Dikov, Gerhard Reitmayr, Mohsen Ghafoorian
2024	J	`jnl`	FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos. CoRR Florian Langer, Jihong Ju, Georgi Dikov, Gerhard Reitmayr, Mohsen Ghafoorian
2024	A	`conf`	InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. BMVC Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian
2024	J	`jnl`	InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning. CoRR Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer, Christos Louizos, Tijmen Blankevoort, Mohsen Ghafoorian
2023	A*	`conf`	3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces. ICCV Xuepeng Shi, Georgi Dikov, Gerhard Reitmayr, Tae-Kyun Kim, Mohsen Ghafoorian
2023	A*	`conf`	DG-Recon: Depth-Guided Neural 3D Scene Reconstruction. ICCV Jihong Ju, Ching Wei Tseng, Oleksandr Bailo, Georgi Dikov, Mohsen Ghafoorian
2023	J	`jnl`	PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN. Comput. Graph. Forum Kai-En Lin, Alex Trevithick, Ke-Li Cheng, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi
2023	J	`jnl`	PVP: Personalized Video Prior for Editable Dynamic Portraits using StyleGAN. CoRR Kai-En Lin, Alex Trevithick, Ke-Li Cheng, Michel Sarkis, Mohsen Ghafoorian, Ning Bi, Gerhard Reitmayr, Ravi Ramamoorthi
2022	A	`conf`	Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. BMVC Osman Ülger, Julian Wiederer, Mohsen Ghafoorian, Vasileios Belagiannis, Pascal Mettes
2022	J	`jnl`	Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. CoRR Osman Ülger, Julian Wiederer, Mohsen Ghafoorian, Vasileios Belagiannis, Pascal Mettes
2020	J	`jnl`	Find it if You Can: End-to-End Adversarial Erasing for Weakly-Supervised Semantic Segmentation. CoRR Erik Stammes, Tom F. H. Runia, Michael Hofmann, Mohsen Ghafoorian
2020	—	`conf`	Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation. MLMI@MICCAI Masoumeh Bakhtiariziabari, Mohsen Ghafoorian
2019	J	`jnl`	3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations. CoRR Hessam Sokooti, Bob D. de Vos, Floris F. Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring
2019	J	`jnl`	Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. IEEE Trans. Medical Imaging 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
2019	—	`conf`	I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. ICCV Workshops Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian
2019	J	`jnl`	I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. CoRR Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR 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 Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 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 Li Hsian 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
2018	—	`conf`	Cerebral microbleed detection in traumatic brain injury patients using 3D convolutional neural networks. Computer-Aided Diagnosis 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
2018	J	`jnl`	Comparison of U-net-based Convolutional Neural Networks for Liver Segmentation in CT. CoRR Hans Meine, Grzegorz Chlebus, Mohsen Ghafoorian, Itaru Endo, Andrea Schenk
2018	—	`conf`	EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection. ECCV Workshops (1) Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann
2018	J	`jnl`	EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection. CoRR Mohsen Ghafoorian, Cedric Nugteren, Nóra Baka, Olaf Booij, Michael Hofmann
2018	J	`jnl`	Student Beats the Teacher: Deep Neural Networks for Lateral Ventricles Segmentation in Brain MR. CoRR Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
2018	B	`conf`	Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR. Image Processing Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel
2017	J	`jnl`	A Survey on Deep Learning in Medical Image Analysis. CoRR 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
2017	J	`jnl`	A survey on deep learning in medical image analysis. Medical Image Anal. 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
2017	—	`conf`	Classification of clinical significance of MRI prostate findings using 3D convolutional neural networks. Computer-Aided Diagnosis Alireza Mehrtash, Alireza Sedghi, Mohsen Ghafoorian, Mehdi Taghipour, Clare M. Tempany, William M. Wells III, Tina Kapur, Parvin Mousavi, Purang Abolmaesumi, Andriy Fedorov
2017	—	`conf`	Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. MICCAI (3) 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
2017	J	`jnl`	Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation. CoRR 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
2016	—	`conf`	A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation. Computer-Aided Diagnosis Koen Vijverberg, Mohsen Ghafoorian, Inge W. M. van Uden, Frank-Erik de Leeuw, Bram Platel, Tom Heskes
2016	J	`jnl`	Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin. CoRR 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
2016	J	`jnl`	Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities. CoRR 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
2016	—	`conf`	Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation. ISBI Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, I. W. M. van Uden, Frank-Erik de Leeuw, Elena Marchiori, Bram van Ginneken, Bram Platel
2015	—	`conf`	Computer aided detection of brain micro-bleeds in traumatic brain injury. Computer-Aided Diagnosis 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
2015	—	`conf`	Small white matter lesion detection in cerebral small vessel disease. Computer-Aided Diagnosis Mohsen Ghafoorian, Nico Karssemeijer, Inge van Uden, Frank-Erik de Leeuw, Tom Heskes, Elena Marchiori, Bram Platel
2013	—	`conf`	Automatic Abstraction in Reinforcement Learning Using Ant System Algorithm. AAAI Spring Symposium: Lifelong Machine Learning Mohsen Ghafoorian, Nasrin Taghizadeh, Hamid Beigy