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2020 – today
- 2024
[i7]Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan:
X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning. CoRR abs/2406.16109 (2024)- 2022
- [j12]Maya Mayberg
, Michael Green, Mark Vasserman, Dominique Raichman, Eugenia Belenky, Michael Wolf, Shai Shrot, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Anisotropic neural deblurring for MRI acceleration. Int. J. Comput. Assist. Radiol. Surg. 17(2): 315-327 (2022) - [j11]Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
Weakly supervised attention model for RV strain classification from volumetric CTPA scans. Comput. Methods Programs Biomed. 220: 106815 (2022) - [c23]Noa Barzilay, Ilya Nelkenbaum, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI. ECCV Workshops (3) 2022: 252-267 - [c22]Gali Hod, Michael Green, Mark Waserman, Eli Konen, Shai Shrot, Ilya Nelkenbaum, Nahum Kiryati, Arnaldo Mayer:
Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI. ECCV Workshops (3) 2022: 268-280 - [c21]Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
Weakly Supervised Multimodal 30-Day All-Cause Mortality Prediction for Pulmonary Embolism Patients. ISBI 2022: 1-4 - 2021
- [c20]Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
RV strain classification from 3D CTPA scans using weakly supervised residual attention model. Medical Imaging: Computer-Aided Diagnosis 2021 - [i6]Noa Cahan, Edith M. Marom, Shelly Soffer, Yiftach Barash, Eli Konen, Eyal Klang, Hayit Greenspan:
Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans. CoRR abs/2107.12009 (2021) - 2020
- [j10]Itzik Avital, Ilya Nelkenbaum, Galia Tsarfaty, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography. IEEE Trans. Medical Imaging 39(5): 1655-1667 (2020) - [c19]Ilya Nelkenbaum, Galia Tsarfaty, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences. ISBI 2020: 368-371 - [c18]Ophir Yaniv, Orith Portnoy, Amit Talmon, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation. ISBI 2020: 442-445 - [c17]Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer:
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound. ML-CDS/CLIP@MICCAI 2020: 125-135 - [c16]Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer:
Labeling of Multilingual Breast MRI Reports. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 233-241 - [c15]Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer:
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet). MIDL 2020: 784-794 - [i5]Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer:
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet). CoRR abs/2005.02706 (2020) - [i4]Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer:
Labeling of Multilingual Breast MRI Reports. CoRR abs/2007.03028 (2020) - [i3]Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer:
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound. CoRR abs/2009.11009 (2020)
2010 – 2019
- 2019
- [j9]Shaked Perek, Nahum Kiryati, Gali Zimmerman-Moreno, Miri Sklair-Levy, Eli Konen, Arnaldo Mayer:
Classification of contrast-enhanced spectral mammography (CESM) images. Int. J. Comput. Assist. Radiol. Surg. 14(2): 249-257 (2019) - [j8]Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan:
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection. Eng. Appl. Artif. Intell. 78: 186-194 (2019) - [c14]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising. ISBI 2019: 1635-1638 - [c13]Michael Green, Miri Sklair-Levy, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Neural Denoising of Ultra-low Dose Mammography. MLMIR@MICCAI 2019: 215-225 - [i2]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - 2018
- [j7]Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest pathology identification using deep feature selection with non-medical training. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 259-263 (2018) - [j6]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
3-D Neural denoising for low-dose Coronary CT Angiography (CCTA). Comput. Medical Imaging Graph. 70: 185-191 (2018) - [j5]Avi Ben-Cohen, Eyal Klang, Ariel Kerpel, Eli Konen, Michal Amitai, Hayit Greenspan:
Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations. Neurocomputing 275: 1585-1594 (2018) - [c12]Aviel Blumenfeld, Eli Konen, Hayit Greenspan:
Pneumothorax detection in chest radiographs using convolutional neural network. Medical Imaging: Computer-Aided Diagnosis 2018: 1057504 - [c11]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Learning Real Noise for Ultra-Low Dose Lung CT Denoising. Patch-MI@MICCAI 2018: 3-11 - [i1]Avi Ben-Cohen, Eyal Klang, Stephen P. Raskin, Shelly Soffer, Simona Ben-Haim, Eli Konen, Michal Marianne Amitai, Hayit Greenspan:
Cross-Modality Synthesis from CT to PET using FCN and GAN Networks for Improved Automated Lesion Detection. CoRR abs/1802.07846 (2018) - 2017
- [j4]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies. Int. J. Comput. Assist. Radiol. Surg. 12(12): 2145-2155 (2017) - [j3]Idit Diamant, Eyal Klang, Michal Amitai, Eli Konen, Jacob Goldberger, Hayit Greenspan:
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification. IEEE Trans. Biomed. Eng. 64(6): 1380-1392 (2017) - [c10]Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising. Patch-MI@MICCAI 2017: 102-110 - [p1]Idit Diamant, Yaniv Bar, Ofer Geva, Lior Wolf, Gali Zimmerman, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest Radiograph Pathology Categorization via Transfer Learning. Deep Learning for Medical Image Analysis 2017: 299-320 - 2016
- [j2]Arnaldo Mayer, Adi Zholkover, Orith Portnoy, Gil Raviv, Eli Konen, Zvi Symon:
Deformable registration of trans-rectal ultrasound (TRUS) and magnetic resonance imaging (MRI) for focal prostate brachytherapy. Int. J. Comput. Assist. Radiol. Surg. 11(6): 1015-1023 (2016) - [c9]Gali Zimmerman-Moreno, Irina Marin, Moshe Lindner, Iris Barshack, Yuval Garini, Eli Konen, Arnaldo Mayer:
Automatic classification of cancer cells in multispectral microscopic images of lymph node samples. EMBC 2016: 3973-3976 - [c8]Ofer Geva, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Localized Fisher vector representation for pathology detection in chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2016: 97850D - [c7]Yitzchak Pfeffer, Arnaldo Mayer, Adi Zholkover, Eli Konen:
A system for automatic aorta sections measurements on chest CT. Medical Imaging: Computer-Aided Diagnosis 2016: 978505 - [c6]Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM). MICCAI (3) 2016: 423-431 - 2015
- [c5]Yaniv Bar, Idit Diamant, Lior Wolf, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Chest pathology detection using deep learning with non-medical training. ISBI 2015: 294-297 - [c4]Ofer Geva, Gali Zimmerman-Moreno, Sivan Lieberman, Eli Konen, Hayit Greenspan:
Pneumothorax detection in chest radiographs using local and global texture signatures. Medical Imaging: Computer-Aided Diagnosis 2015: 94141P - 2011
- [j1]Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger:
X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words. IEEE Trans. Medical Imaging 30(3): 733-746 (2011) - [c3]Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger:
System for pathology categorization and retrieval in chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2011: 79630M - 2010
- [c2]Uri Avni, Jacob Goldberger, Michal Sharon, Eli Konen, Hayit Greenspan:
Chest x-ray characterization: from organ identification to pathology categorization. Multimedia Information Retrieval 2010: 155-164
2000 – 2009
- 2009
- [c1]Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen, Jacob Goldberger:
X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation. ISBI 2009: 350-353
Coauthor Index
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last updated on 2024-07-25 20:23 CEST by the dblp team
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