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Hamed 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. Medical Imaging: 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. Medical 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: 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. Medical Imaging: Image-Guided Procedures 2011: 79642V - [c3]Hamed Akbari
, Xiaofeng Yang
, Luma V. Halig, Baowei Fei
:
3D segmentation of prostate ultrasound images using wavelet transform. Medical Imaging: 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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last updated on 2024-04-25 05:44 CEST by the dblp team
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