Davood Karimi - RankMe

87 papers B 5Journal 65Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge. Medical Image Anal. Vladyslav Zalevskyi, Thomas Sanchez, Misha P. T. Kaandorp, Margaux Roulet, Diego Fajardo-Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew J. Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra
2026	J	`jnl`	Atlas-Assisted Segment Anything Model for Fetal Brain MRI (FeTal-SAM). CoRR Qi Zeng, Weide Liu, Bo Li, Ryne Didier, Patricia Ellen Grant, Davood Karimi
2026	J	`jnl`	Detailed Delineation of the Fetal Brain in Diffusion MRI via Multi-Task Learning. IEEE Trans. Medical Imaging Davood Karimi, Camilo Calixto, Haykel Snoussi, Bo Li, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin K. Rollins, Lana Pierotich, Camilo Jaimes, Ali Gholipour, Simon K. Warfield
2026	J	`jnl`	USFetal: Tools for Fetal Brain Ultrasound Compounding. CoRR Mohammad Khateri, Morteza Ghahremani, Sergio Valencia, Camilo Jaimes, Alejandra Sierra, Jussi Tohka, Patricia Ellen Grant, Davood Karimi
2025	J	`jnl`	Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge. CoRR Vladyslav Zalevskyi, Thomas Sanchez, Misha P. T. Kaandorp, Margaux Roulet, Diego Fajardo-Rojas, Liu Li, Jana Hutter, Hongwei Bran Li, Matthew J. Barkovich, Hui Ji, Luca Wilhelmi, Aline Dändliker, Céline Steger, Mériam Koob, Yvan Gomez, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Milan Rados, Jordina Aviles Verdera, Gregor Kasprian, Gregor Dovjak, Raphael Gaubert-Rachmühl, Maurice Aschwanden, Qi Zeng, Davood Karimi, Denis Peruzzo, Tommaso Ciceri, Giorgio Longari, Rachika E. Hamadache, Amina Bouzid, Xavier Lladó, Simone Chiarella, Gerard Martí-Juan, Miguel Ángel González Ballester, Marco Castellaro, Marco Pinamonti, Valentina Visani, Robin Cremese, Keïn Sam, Fleur Gaudfernau, Param Ahir, Mehul Parikh, Maximilian Zenk, Michael Baumgartner, Klaus H. Maier-Hein, Li Tianhong, Yang Hong, Zhao Longfei, Domen Preloznik, Ziga Spiclin, Jae Won Choi, Muyang Li, Jia Fu, Guotai Wang, Jingwen Jiang, Lyuyang Tong, Bo Du, Andrea Gondova, Sungmin You, Kiho Im, Abdul Qayyum, Moona Mazher, Steven A. Niederer, András Jakab, Roxane Licandro, Kelly Payette, Meritxell Bach Cuadra
2025	J	`jnl`	Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time. CoRR Haykel Snoussi, Davood Karimi
2025	J	`jnl`	FetDTIAlign: A Deep Learning Framework for Affine and Deformable Registration of Fetal Brain dMRI. CoRR Bo Li, Qi Zeng, Simon K. Warfield, Davood Karimi
2025	J	`jnl`	FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI. NeuroImage Bo Li, Qi Zeng, Simon K. Warfield, Davood Karimi
2025	J	`jnl`	Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI. Medical Image Anal. Misha P. T. Kaandorp, Frank Zijlstra, Davood Karimi, Ali Gholipour, Peter T. While
2025	J	`jnl`	MRI Super-Resolution with Deep Learning: A Comprehensive Survey. CoRR Mohammad Khateri, Serge Vasylechko, Morteza Ghahremani, Liam Timms, Deniz Kocanaogullari, Simon K. Warfield, Camilo Jaimes, Davood Karimi, Alejandra Sierra, Jussi Tohka, Sila Kurugol, Onur Afacan
2025	J	`jnl`	Towards automatic US-MR fetal brain image registration with learning-based methods. NeuroImage Qi Zeng, Weide Liu, Bo Li, Ryne Didier, Patricia Ellen Grant, Davood Karimi
2024	—	`conf`	Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction. PIPPI@MICCAI Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali Gholipour
2024	—	`conf`	An Approach to Building Foundation Models for Brain Image Analysis. MICCAI (12) Davood Karimi
2024	J	`jnl`	Anatomically Constrained Tractography of the Fetal Brain. CoRR Camilo Calixto, Camilo Jaimes, Matheus D. Soldatelli, Simon K. Warfield, Ali Gholipour, Davood Karimi
2024	J	`jnl`	Anatomically constrained tractography of the fetal brain. NeuroImage Camilo Calixto, Camilo Jaimes, Matheus D. Soldatelli, Simon K. Warfield, Ali Gholipour, Davood Karimi
2024	—	`conf`	Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. ISBI Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, Meritxell Bach Cuadra
2024	J	`jnl`	Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. Medical Image Anal. Hamza Kebiri, Ali Gholipour, Rizhong Lin, Lana Vasung, Camilo Calixto, Zeljka Krsnik, Davood Karimi, Meritxell Bach Cuadra
2024	J	`jnl`	Detailed delineation of the fetal brain in diffusion MRI via multi-task learning. CoRR Davood Karimi, Camilo Calixto, Haykel Snoussi, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin K. Rollins, Camilo Jaimes, Ali Gholipour, Simon K. Warfield
2024	J	`jnl`	Diffusion MRI with Machine Learning. CoRR Davood Karimi
2024	—	`conf`	Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains. CDMRI@MICCAI Rizhong Lin, Hamza Kebiri, Ali Gholipour, Yufei Chen, Jean-Philippe Thiran, Davood Karimi, Meritxell Bach Cuadra
2024	J	`jnl`	Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains. CoRR Rizhong Lin, Hamza Kebiri, Ali Gholipour, Yufei Chen, Jean-Philippe Thiran, Davood Karimi, Meritxell Bach Cuadra
2024	J	`jnl`	HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI. CoRR Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali Gholipour
2024	J	`jnl`	QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
2024	J	`jnl`	Streamline tractography of the fetal brain in utero with machine learning. CoRR Weide Liu, Camilo Calixto, Simon K. Warfield, Davood Karimi
2023	—	`conf`	A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage. ISBI Yihan Wu, Ali Gholipour, Lana Vasung, Davood Karimi
2023	B	`conf`	Automatic brain pose estimation in fetal MRI. Image Processing Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2023	J	`jnl`	Characterizing normal perinatal development of the human brain structural connectivity. CoRR Yihan Wu, Lana Vasung, Camilo Calixto, Ali Gholipour, Davood Karimi
2023	J	`jnl`	Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. CoRR Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, Meritxell Bach Cuadra
2023	J	`jnl`	Direct segmentation of brain white matter tracts in diffusion MRI. CoRR Hamza Kebiri, Ali Gholipour, Meritxell Bach Cuadra, Davood Karimi
2023	J	`jnl`	Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab
2023	J	`jnl`	Fetal-BET: Brain Extraction Tool for Fetal MRI. CoRR Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2023	J	`jnl`	Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation. IEEE Trans. Artif. Intell. Davood Karimi, Ali Gholipour
2023	J	`jnl`	Learning to segment fetal brain tissue from noisy annotations. Medical Image Anal. Davood Karimi, Caitlin K. Rollins, Clemente Velasco-Annis, Abdelhakim Ouaalam, Ali Gholipour
2023	—	`conf`	Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning. MICCAI (7) Hamza Kebiri, Ali Gholipour, Rizhong Lin, Lana Vasung, Davood Karimi, Meritxell Bach Cuadra
2023	J	`jnl`	TBSS++: A novel computational method for Tract-Based Spatial Statistics. CoRR Davood Karimi, Hamza Kebiri, Ali Gholipour
2022	—	`conf`	Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRI. MICCAI (1) Davood Karimi, Ali Gholipour
2022	J	`jnl`	Atlas-powered deep learning (ADL) - application to diffusion weighted MRI. CoRR Davood Karimi, Ali Gholipour
2022	—	`conf`	Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI. PIPPI@MICCAI Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2022	J	`jnl`	Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI. CoRR Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2022	J	`jnl`	Diffusion Tensor Estimation with Transformer Neural Networks. CoRR Davood Karimi, Ali Gholipour
2022	J	`jnl`	Diffusion tensor estimation with transformer neural networks. Artif. Intell. Medicine Davood Karimi, Ali Gholipour
2022	J	`jnl`	Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab
2022	J	`jnl`	Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki
2022	J	`jnl`	Learning to segment fetal brain tissue from noisy annotations. CoRR Davood Karimi, Caitlin K. Rollins, Clemente Velasco-Annis, Abdelhakim Ouaalam, Ali Gholipour
2022	J	`jnl`	Medical Image Segmentation Using Transformer Networks. IEEE Access Davood Karimi, Haoran Dou, Ali Gholipour
2022	J	`jnl`	Subject-specific quantitative susceptibility mapping using patch based deep image priors. CoRR Arvind Balachandrasekaran, Davood Karimi, Camilo Jaimes, Ali Gholipour
2021	J	`jnl`	A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. IEEE Trans. Medical Imaging Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour
2021	J	`jnl`	A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging. Medical Image Anal. Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Shadab Khan, Simon K. Warfield, Ali Gholipour
2021	—	`conf`	Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data. MICCAI (7) Davood Karimi, Lana Vasung, Fedel Machado-Rivas, Camilo Jaimes, Shadab Khan, Ali Gholipour
2021	J	`jnl`	Automatic Segmentation of the Prostate on 3D Trans-rectal Ultrasound Images using Statistical Shape Models and Convolutional Neural Networks. CoRR Golnoosh Samei, Davood Karimi, Claudia Kesch, Septimiu E. Salcudean
2021	J	`jnl`	Calibrated Diffusion Tensor Estimation. CoRR Davood Karimi, Simon K. Warfield, Ali Gholipour
2021	—	`conf`	Convolution-Free Medical Image Segmentation Using Transformers. MICCAI (1) Davood Karimi, Serge Vasylechko, Ali Gholipour
2021	J	`jnl`	Convolution-Free Medical Image Segmentation using Transformers. CoRR Davood Karimi, Serge Vasylechko, Ali Gholipour
2021	J	`jnl`	Deep learning-based parameter estimation in fetal diffusion-weighted MRI. NeuroImage Davood Karimi, Camilo Jaimes, Fedel Machado-Rivas, Lana Vasung, Shadab Khan, Simon K. Warfield, Ali Gholipour
2021	B	`conf`	Interpolation of CT Projections by Exploiting Their Self-Similarity and Smoothness. ICIP Davood Karimi, Rabab Ward
2021	J	`jnl`	Interpolation of CT Projections by Exploiting Their Self-Similarity and Smoothness. CoRR Davood Karimi, Rabab K. Ward
2021	J	`jnl`	Learning to estimate  the fiber orientation distribution function from diffusion-weighted MRI. NeuroImage Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Simon K. Warfield, Ali Gholipour
2021	J	`jnl`	Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations. Artif. Intell. Medicine Davood Karimi, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. CoRR Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour
2020	J	`jnl`	A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging. CoRR Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Shadab Khan, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks. CoRR Davood Karimi, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images - Role of Multiscale Decision Aggregation and Data Augmentation. IEEE J. Biomed. Health Informatics Davood Karimi, Guy Nir, Ladan Fazli, Peter C. Black, Larry Goldenberg, Septimiu E. Salcudean
2020	J	`jnl`	Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis. Medical Image Anal. Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks. CoRR Davood Karimi, Ali Gholipour
2020	—	`conf`	Learning to Detect Brain Lesions from Noisy Annotations. ISBI Davood Karimi, Jurriaan M. Peters, Abdelhakim Ouaalam, Sanjay P. Prabhu, Mustafa Sahin, Darcy A. Krueger, Alexander Kolevzon, Charis Eng, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks. IEEE Trans. Medical Imaging Davood Karimi, Septimiu E. Salcudean
2019	J	`jnl`	A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging. CoRR Davood Karimi, Golnoosh Samei, Yanan Shao, Tim Salcudean
2019	J	`jnl`	Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images. Medical Image Anal. Davood Karimi, Qi Zeng, Prateek Mathur, Apeksha Avinash, Sara Mahdavi, Ingrid Spadinger, Purang Abolmaesumi, Septimiu E. Salcudean
2019	J	`jnl`	Deep learning with noisy labels: exploring techniques and remedies in medical image analysis. CoRR Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour
2019	—	`conf`	Liver Segmentation in Magnetic Resonance Imaging via Mean Shape Fitting with Fully Convolutional Neural Networks. MICCAI (2) Qi Zeng, Davood Karimi, Emily H. T. Pang, Shahed K. Mohammed, Caitlin Schneider, Mohammad Honarvar, Septimiu E. Salcudean
2019	J	`jnl`	Reducing the Hausdorff Distance in Medical Image Segmentation with Convolutional Neural Networks. CoRR Davood Karimi, Septimiu E. Salcudean
2019	J	`jnl`	Sparse and redundant signal representations for x-ray computed tomography. CoRR Davood Karimi
2018	—	`conf`	Accurate and Robust Segmentation of the Clinical Target Volume for Prostate Brachytherapy. MICCAI (4) Davood Karimi, Qi Zeng, Prateek Mathur, Apeksha Avinash, Sara Mahdavi, Ingrid Spadinger, Purang Abolmaesumi, Septimiu E. Salcudean
2018	J	`jnl`	Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts. Medical Image Anal. Guy Nir, Soheil Hor, Davood Karimi, Ladan Fazli, Brian F. Skinnider, Peyman Tavassoli, Dmitry Turbin, Carlos F. Villamil, Gang Wang, R. Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Peter C. Black, Purang Abolmaesumi, S. Larry Goldenberg, Septimiu E. Salcudean
2018	J	`jnl`	Prostate segmentation in MRI using a convolutional neural network architecture and training strategy based on statistical shape models. Int. J. Comput. Assist. Radiol. Surg. Davood Karimi, Golnoosh Samei, Claudia Kesch, Guy Nir, Septimiu E. Salcudean
2018	J	`jnl`	Prostate segmentation in transrectal ultrasound using magnetic resonance imaging priors. Int. J. Comput. Assist. Radiol. Surg. Qi Zeng, Golnoosh Samei, Davood Karimi, Claudia Kesch, Seyedeh Sara Mahdavi, Purang Abolmaesumi, Septimiu E. Salcudean
2017	—	`conf`	Image reconstruction in computed tomography using variance-reduced stochastic gradient descent. ISBI Davood Karimi, Rabab K. Ward
2017	—	`conf`	Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging. MICCAI (3) Davood Karimi, Dan Ruan
2016	J	`jnl`	A denoising algorithm for projection measurements in cone-beam computed tomography. Comput. Biol. Medicine Davood Karimi, Rabab K. Ward
2016	B	`conf`	A novel structured dictionary for fast processing of 3D medical images, with application to computed tomography restoration and denoising. Image Processing Davood Karimi, Rabab K. Ward
2016	J	`jnl`	A sinogram denoising algorithm for low-dose computed tomography. BMC Medical Imaging Davood Karimi, Pierre Deman, Rabab K. Ward, Nancy L. Ford
2016	J	`jnl`	On the computational implementation of forward and back-projection operations for cone-beam computed tomography. Medical Biol. Eng. Comput. Davood Karimi, Rabab K. Ward
2016	J	`jnl`	Patch-based models and algorithms for image processing: a review of the basic principles and methods, and their application in computed tomography. Int. J. Comput. Assist. Radiol. Surg. Davood Karimi, Rabab K. Ward
2016	B	`conf`	Sinogram smoothing and interpolation via alternating projections onto the slope and curvature constraints. Image Processing Davood Karimi, Rabab K. Ward
2015	B	`conf`	Angular upsampling of projection measurements in 3D computed tomography using a sparsity prior. ICIP Davood Karimi, Rabab K. Ward, Nancy L. Ford
2013	—	`conf`	Statistical analysis of tracheal breath sounds during wakefulness for screening obstructive sleep apnea. EMBC Cameron A. MacGregor, Davood Karimi, Ali Azarbarzin, Zahra Moussavi
2012	—	`conf`	Bispectral analysis of tracheal breath sounds for Obstructive Sleep Apnea. EMBC Ehsan Shams, Davood Karimi, Zahra Moussavi