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ORCIDHamed Akbari
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2020 – today
- 2022
[i3]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 abs/2208.14445 (2022)- 2021
- [i2]Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Amaan 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 abs/2112.06979 (2021) - 2020
- [c21]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: 157-167 - [c20]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: 342-352 - [c19]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. Image-Guided Procedures 2020: 113151S - [i1]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 abs/2008.07628 (2020)
2010 – 2019
- 2019
- [j6]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: 81 (2019) - [c18]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: 44-56 - [c17]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: 380-394 - [c16]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. Computer-Aided Diagnosis 2019: 1095043 - 2018
- [c15]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. Computer-Aided Diagnosis 2018: 1057509 - [c14]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: 105-114 - [c13]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. Image-Guided Procedures 2018: 105760O - 2017
- [c12]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: 133-145 - 2016
- [c11]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: 184-194 - 2015
- [c10]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: 144-155 - 2014
- [j5]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): 651-667 (2014) - [j4]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): 2039-2065 (2014) - [c9]Dongjin Kwon, Russell T. Shinohara, Hamed Akbari, Christos Davatzikos:
Combining Generative Models for Multifocal Glioma Segmentation and Registration. MICCAI (1) 2014: 763-770 - 2012
- [c8]Baowei Fei, Hamed Akbari, Luma V. Halig:
Hyperspectral imaging and spectral-spatial classification for cancer detection. BMEI 2012: 62-64 - [c7]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. Image-Guided Procedures 2012: 831613 - [c6]Hamed Akbari, Baowei Fei:
Automatic 3D segmentation of the kidney in MR images using wavelet feature extraction and probability shape model. Image Processing 2012: 83143D - 2011
- [c5]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: 100-108 - [c4]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. Image-Guided Procedures 2011: 79642V - [c3]Hamed Akbari, Xiaofeng Yang, Luma V. Halig, Baowei Fei:
3D segmentation of prostate ultrasound images using wavelet transform. Image Processing 2011: 79622K - 2010
- [j3]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): 2011-2017 (2010)
2000 – 2009
- 2009
- [j2]Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima:
Segmentation of Arteries in Minimally Invasive Surgery Using Change Detection. IEICE Trans. Inf. Syst. 92-D(3): 498-505 (2009) - [j1]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): 201-216 (2009) - 2008
- [c2]Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima, Naofumi Tanaka:
Wavelet-Based Compression and Segmentation of Hyperspectral Images in Surgery. MIAR 2008: 142-149 - 2007
- [c1]Hamed Akbari, Yukio Kosugi, Kazuyuki Kojima, Toshiaki Ohya, Hideki Akamatsu, Naofumi Tanaka:
Enhanced Blood Vessels in Laparoscopy by Using Narrow-Band Imaging. MVA 2007: 244-247
Coauthor Index
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