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Publications of year 2018
Articles in journal, book chapters
  1. Aicha BenTaieb and Ghassan Hamarneh. Adversarial Stain Transfer for Histopathology Image Analysis. IEEE Transactions on Medical Imaging (IEEE TMI), 37(3):792-802, 2018. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning, Generative Adversarial Network.


  2. Jeremy Kawahara, Sara Daneshvar, Giuseppe Argenziano, and Ghassan Hamarneh. Seven-Point Checklist and Skin Lesion Classification using Multi-Task Multi-Modal Neural Net. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI) (Special Issue on Skin Lesion Image Analysis for Melanoma Detection), 0(0):00-00, 2018. Keyword(s): Color, Deep Learning, Dermatology.


  3. Jeremy Kawahara and Ghassan Hamarneh. Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI) (Special Issue on Skin Lesion Image Analysis for Melanoma Detection), 0(0):00-00, 2018. Keyword(s): Color, Deep Learning, Dermatology.


  4. Ismail M. Khater, Fanrui Meng, Timothy H. Wong, Ivan Robert Nabi, and Ghassan Hamarneh. Super Resolution Network Analysis Defines the Molecular Architecture of Caveolae and Caveolin-1 Scaffolds. Nature - Scientific reports, 8(9009):1-15, 2018. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning.


  5. Saeid Asgari Taghanaki, Noirin Duggan, Hillgan Ma, Anna Celler, Francois Benard, and Ghassan Hamarneh. Segmentation-Free Direct Tumor Volume and Metabolic Activity Estimation from PET Scans. Computerized Medical Imaging and Graphics (CMIG), 63(January):52-66, 2018. Keyword(s): Machine Learning, Segmentation, Functional/Molecular/Dynamic Imaging.


Conference articles
  1. Aicha BenTaieb and Ghassan Hamarneh. Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 00-00, 2018. Keyword(s): Color, Machine Learning, Microscopy, Deep Learning.


  2. Saurabh Garg, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. Joint Gender-, Tone-, Vowel- Classification via Novel Hierarchical Classification for Annotation of Monosyllabic Mandarin Word Tokens. In IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pages 1-5, 2018. Keyword(s): Tracking, Segmentation.


  3. Arafat Hussain, Ghassan Hamarneh, and Rafeef Abugharbieh. Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma using Multiple Instance Decisions Aggregated CNN. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 00-00, 2018. Keyword(s): Super Resolution, Machine Learning, Deep Learning.


  4. Saeed Izadi, Zahra Mirikharaji, Jeremy Kawahara, and Ghassan Hamarneh. Generative Adversarial Networks to Segment Skin Lesions. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 881-884, 2018. Keyword(s): Machine Learning, Dermatology, Color, Deep Learning, Generative Adversarial Network.


  5. Saeed Izadi, Kathleen Moriarty, and Ghassan Hamarneh. Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 00-00, 2018. Keyword(s): Super Resolution, Machine Learning, Deep Learning.


  6. Jeremy Kawahara, Colin J. Brown, and Ghassan Hamarneh. Connectome Priors in Deep Neural Networks to Predict Autism (Kawahara and Brown: Joint first authors). In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 110-113, 2018. Keyword(s): Diffusion MRI, Autism, Connectome, Machine Learning, Deep Learning.


  7. Zahra Mirikharaji and Ghassan Hamarneh. Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 00-00, 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation, Dermatology, Color, Shape Modelling and Analysis.


  8. Zahra Mirikharaji, Saeed Izadi, Jeremy Kawahara, and Ghassan Hamarneh. Deep Auto-context Fully Convolutional Neural Network for Skin Lesion Segmentation. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 877-880, 2018. Keyword(s): Machine Learning, Dermatology, Color, Deep Learning, Generative Adversarial Network.


Internal reports
  1. Saeid Asgari Taghanaki, Aicha BenTaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, and Ghassan Hamarneh. Select, Attend, and Transfer: Light, Learnable Skip Connections. Technical report arXiv:1703.04559, 4 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation.


  2. Saeid Asgari Taghanaki, Yefeng Zheng, S. Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, and Ghassan Hamarneh. Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. Technical report arXiv:1703.04559, 5 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation.



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Last modified: Fri Jun 22 14:25:05 2018
Author: hamarneh.


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