Hamed Akbari

Publication Activity (10 Years)

Years Active: 2007-2022
Publications (10 Years): 15

Top Topics

Quantitative Analysis

Deformable Registration

Top Venues

BrainLes@MICCAI (1)

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image-Guided Procedures

Publications

Zahra Riahi Samani, Drew Parker, Hamed Akbari, Spyridon Bakas, Ronald L. Wolf, Steven Brem, Ragini Verma
Artificial intelligence-based locoregional markers of brain peritumoral microenvironment. CoRR (2022)
Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Abidi, Mina Mousa, Javier E. Villanueva-Meyer, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR (2021)
Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression. BrainLes@MICCAI (1) (2020)
Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. MLMI@MICCAI (2020)
Spyridon Bakas, Gaurav Shukla, Hamed Akbari, Güray Erus, Aristeidis Sotiras, Saima Rathore, Chiharu Sako, Sung Min Ha, Martin Rozycki, Ashish Singh, Russell T. Shinohara, Michel Bilello, Christos Davatzikos
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. Medical Imaging: Image-Guided Procedures (2020)
Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. CoRR (2020)
Saima Rathore, Hamed Akbari, Spyridon Bakas, Jared Pisapia, Gaurav Shukla, Jeffrey D. Rudie, Xiao Da, Ramana V. Davuluri, Nadia Dahmane, Donald M. O'Rourke, Christos Davatzikos
Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients. Frontiers Comput. Neurosci. 13 (2019)
Sarthak Pati, Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo, Sung Min Ha, Dimitrios Bounias, James Minock, Grayson Murphy, Hongming Li, Amit Bhattarai, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) (2019)
Caleb M. Grenko, Angela N. Viaene, MacLean P. Nasrallah, Michael D. Feldman, Hamed Akbari, Spyridon Bakas
Towards Population-Based Histologic Stain Normalization of Glioblastoma. BrainLes@MICCAI (1) (2019)
Saima Rathore, Hamed Akbari, Spyridon Bakas, Jared Pisapia, Xiao Da, Donald M. O'Rourke, Christos Davatzikos
Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging. Medical Imaging: Computer-Aided Diagnosis (2019)
Saima Rathore, Spyridon Bakas, Hamed Akbari, Gaurav Shukla, Martin Rozycki, Christos Davatzikos
Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques. Medical Imaging: Computer-Aided Diagnosis (2018)
Xu Han, Spyridon Bakas, Roland Kwitt, Stephen R. Aylward, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans. BrainLes@MICCAI (1) (2018)
Saima Rathore, Hamed Akbari, Jimit Doshi, Gaurav Shukla, Martin Rozycki, Michel Bilello, Robert Lustig, Christos Davatzikos
Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma. Medical Imaging: Image-Guided Procedures (2018)
Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunç, Ragini Verma, Michel Bilello, Christos Davatzikos
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. BrainLes@MICCAI (2017)
Ke Zeng, Spyridon Bakas, Aristeidis Sotiras, Hamed Akbari, Martin Rozycki, Saima Rathore, Sarthak Pati, Christos Davatzikos
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. BrainLes@MICCAI (2016)
Spyridon Bakas, Ke Zeng, Aristeidis Sotiras, Saima Rathore, Hamed Akbari, Bilwaj Gaonkar, Martin Rozycki, Sarthak Pati, Christos Davatzikos
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation. Brainles@MICCAI (2015)
Yangming Ou, Hamed Akbari, Michel Bilello, Xiao Da, Christos Davatzikos
Comparative Evaluation of Registration Algorithms in Different Brain Databases With Varying Difficulty: Results and Insights. IEEE Trans. Medical Imaging 33 (10) (2014)
Dongjin Kwon, Russell T. Shinohara, Hamed Akbari, Christos Davatzikos
Combining Generative Models for Multifocal Glioma Segmentation and Registration. MICCAI (1) (2014)
Dongjin Kwon, Marc Niethammer, Hamed Akbari, Michel Bilello, Christos Davatzikos, Kilian M. Pohl
PORTR: Pre-Operative and Post-Recurrence Brain Tumor Registration. IEEE Trans. Medical Imaging 33 (3) (2014)
Baowei Fei, David M. Schuster, Viraj Master, Hamed Akbari, Aaron Fenster, Peter Nieh
A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate. Medical Imaging: Image-Guided Procedures (2012)
Baowei Fei, Hamed Akbari, Luma V. Halig
Hyperspectral imaging and spectral-spatial classification for cancer detection. BMEI (2012)
Hamed Akbari, Baowei Fei
Automatic 3D segmentation of the kidney in MR images using wavelet feature extraction and probability shape model. Medical Imaging: Image Processing (2012)
Baowei Fei, Viraj Master, Peter Nieh, Hamed Akbari, Xiaofeng Yang, Aaron Fenster, David M. Schuster
A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer. Prostate Cancer Imaging (2011)
Hamed Akbari, Xiaofeng Yang, Luma V. Halig, Baowei Fei
3D segmentation of prostate ultrasound images using wavelet transform. Medical Imaging: Image Processing (2011)
Xiaofeng Yang, Hamed Akbari, Luma V. Halig, Baowei Fei
3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy. Medical Imaging: Image-Guided Procedures (2011)
Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima, Naofumi Tanaka
Detection and Analysis of the Intestinal Ischemia Using Visible and Invisible Hyperspectral Imaging. IEEE Trans. Biomed. Eng. 57 (8) (2010)
Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima, Naofumi Tanaka
Hyperspectral Image segmentation and its application in abdominal surgery. Int. J. Funct. Informatics Pers. Medicine 2 (2) (2009)
Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima
Segmentation of Arteries in Minimally Invasive Surgery Using Change Detection. IEICE Trans. Inf. Syst. (3) (2009)
Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima, Naofumi Tanaka
Wavelet-Based Compression and Segmentation of Hyperspectral Images in Surgery. MIAR (2008)
Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima, Toshiaki Ohya, Hideki Akamatsu, Naofumi Tanaka
Enhanced Blood Vessels in Laparoscopy by Using Narrow-Band Imaging. MVA (2007)