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ORCIDGhassan Hamarneh
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- affiliation: Simon Fraser University, Burnaby, Canada
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2020 – today
- 2023
[j75]Saeed Izadi, Darren B. Sutton, Ghassan Hamarneh:
Image denoising in the deep learning era. Artif. Intell. Rev. 56(7): 5929-5974 (2023)- [j74]Shubam Sachdeva, Haoyao Ruan, Ghassan Hamarneh, Dawn M. Behne, Allard Jongman, Joan A. Sereno, Yue Wang
:
Plain-to-clear speech video conversion for enhanced intelligibility. Int. J. Speech Technol. 26(1): 163-184 (2023) - [j73]Saurabh Garg, Haoyao Ruan, Ghassan Hamarneh, Dawn M. Behne, Allard Jongman, Joan A. Sereno, Yue Wang:
Mouth2Audio: intelligible audio synthesis from videos with distinctive vowel articulation. Int. J. Speech Technol. 26(on): 459-474 (2023) - [j72]Weina Jin, Xiaoxiao Li, Mostafa Fatehi, Ghassan Hamarneh:
Guidelines and evaluation of clinical explainable AI in medical image analysis. Medical Image Anal. 84: 102684 (2023) - [j71]Zahra Mirikharaji, Kumar Abhishek, Alceu Bissoto, Catarina Barata, Sandra Avila, Eduardo Valle, M. Emre Celebi, Ghassan Hamarneh:
A survey on deep learning for skin lesion segmentation. Medical Image Anal. 88: 102863 (2023) - [c153]Adriano C. D' Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh:
Learning-to-Count by Learning-to-Rank. CRV 2023: 105-112 - [i51]Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Ghassan Hamarneh:
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals. CoRR abs/2302.06609 (2023) - [i50]Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
Rethinking AI Explainability and Plausibility. CoRR abs/2303.17707 (2023) - [i49]Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, Ghassan Hamarneh:
DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images. CoRR abs/2305.12621 (2023) - [i48]Ivan Robert Nabi, Ben Cardoen, Ismail M. Khater, Guang Gao, Timothy H. Wong, Ghassan Hamarneh:
AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth. CoRR abs/2305.17193 (2023) - [i47]Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets. CoRR abs/2307.02100 (2023) - [i46]Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets. CoRR abs/2307.13897 (2023) - [i45]Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, Ghassan Hamarneh:
SLiMe: Segment Like Me. CoRR abs/2309.03179 (2023) - 2022
- [j70]Mohammad Arafat Hussain, Zahra Mirikharaji, Mohammad Momeny, Mahmoud Marhamati, Ali Asghar Neshat, Rafeef Garbi, Ghassan Hamarneh:
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT. Comput. Medical Imaging Graph. 102: 102127 (2022) - [j69]Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, Arman Rahmim:
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Comput. Methods Programs Biomed. 219: 106750 (2022) - [j68]Mengliu Zhao, Jeremy Kawahara, Kumar Abhishek, Sajjad Shamanian, Ghassan Hamarneh:
Skin3D: Detection and longitudinal tracking of pigmented skin lesions in 3D total-body textured meshes. Medical Image Anal. 77: 102329 (2022) - [j67]Hanene Ben Yedder, Ben Cardoen, Majid Shokoufi, Farid Golnaraghi, Ghassan Hamarneh:
Multitask Deep Learning Reconstruction and Localization of Lesions in Limited Angle Diffuse Optical Tomography. IEEE Trans. Medical Imaging 41(3): 515-530 (2022) - [j66]M. Sadegh Saberian, Kathleen P. Moriarty, Andrea D. Olmstead, Christian Hallgrimson, François Jean, Ivan Robert Nabi, Maxwell W. Libbrecht, Ghassan Hamarneh:
DEEMD: Drug Efficacy Estimation Against SARS-CoV-2 Based on Cell Morphology With Deep Multiple Instance Learning. IEEE Trans. Medical Imaging 41(11): 3128-3145 (2022) - [c152]Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? AAAI 2022: 11945-11953 - [c151]Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features. CVPR 2022: 528-538 - [c150]Siyi Du, Ben Hers, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. ECCV Workshops (4) 2022: 185-202 - [c149]Arezou Pakzad, Kumar Abhishek, Ghassan Hamarneh:
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. ECCV Workshops (4) 2022: 203-219 - [c148]Mayur Mallya, Ghassan Hamarneh:
Deep Multimodal Guidance for Medical Image Classification. MICCAI (8) 2022: 298-308 - [c147]Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. NeurIPS 2022 - [i44]Weina Jin, Xiaoxiao Li, Mostafa Fatehi, Ghassan Hamarneh:
Guidelines and evaluation for clinical explainable AI on medical image analysis. CoRR abs/2202.10553 (2022) - [i43]Mayur Mallya, Ghassan Hamarneh:
Deep Multimodal Guidance for Medical Image Classification. CoRR abs/2203.05683 (2022) - [i42]Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements? CoRR abs/2203.06487 (2022) - [i41]Kumar Abhishek, Colin J. Brown, Ghassan Hamarneh:
Multi-Sample ζ-mixup: Richer, More Realistic Synthetic Samples from a p-Series Interpolant. CoRR abs/2204.03323 (2022) - [i40]Zahra Mirikharaji, Catarina Barata, Kumar Abhishek, Alceu Bissoto, Sandra Avila, Eduardo Valle, M. Emre Celebi, Ghassan Hamarneh:
A Survey on Deep Learning for Skin Lesion Segmentation. CoRR abs/2206.00356 (2022) - [i39]Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Xiaoxiao Li, Ghassan Hamarneh:
Transcending XAI Algorithm Boundaries through End-User-Inspired Design. CoRR abs/2208.08739 (2022) - [i38]Siyi Du, Ben Hers, Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. CoRR abs/2208.10013 (2022) - [i37]Arezou Pakzad, Kumar Abhishek, Ghassan Hamarneh:
CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. CoRR abs/2208.13528 (2022) - [i36]Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, Ghassan Hamarneh:
MaskTune: Mitigating Spurious Correlations by Forcing to Explore. CoRR abs/2210.00055 (2022) - 2021
- [j65]Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh:
Deep semantic segmentation of natural and medical images: a review. Artif. Intell. Rev. 54(1): 137-178 (2021) - [j64]Hanene Ben Yedder, Ben Cardoen, Ghassan Hamarneh:
Deep learning for biomedical image reconstruction: a survey. Artif. Intell. Rev. 54(1): 215-251 (2021) - [j63]Mohammad Momeny, Ali Asghar Neshat, Mohammad Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, Ghassan Hamarneh:
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images. Comput. Biol. Medicine 136: 104704 (2021) - [j62]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Learnable image histograms-based deep radiomics for renal cell carcinoma grading and staging. Comput. Medical Imaging Graph. 90: 101924 (2021) - [j61]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Cascaded Regression Neural Nets for Kidney Localization and Segmentation-free Volume Estimation. IEEE Trans. Medical Imaging 40(6): 1555-1567 (2021) - [c146]Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi, Ghassan Hamarneh:
D-LEMA: Deep Learning Ensembles From Multiple Annotations - Application to Skin Lesion Segmentation. CVPR Workshops 2021: 1837-1846 - [c145]Kumar Abhishek, Ghassan Hamarneh:
Matthews Correlation Coefficient Loss For Deep Convolutional Networks: Application To Skin Lesion Segmentation. ISBI 2021: 225-229 - [c144]Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification. MICCAI (7) 2021: 165-175 - [p2]Saeed Izadi, Ghassan Hamarneh:
AECNN: Adversarial and Enhanced Convolutional Neural Networks. Computer-Aided Analysis of Gastrointestinal Videos 2021: 59-62 - [i35]Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Ghassan Hamarneh:
EUCA: A Practical Prototyping Framework towards End-User-Centered Explainable Artificial Intelligence. CoRR abs/2102.02437 (2021) - [i34]Mengliu Zhao, Jeremy Kawahara, Sajjad Shamanian, Kumar Abhishek, Priyanka Chandrashekar, Ghassan Hamarneh:
Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Skin Textured Meshes. CoRR abs/2105.00374 (2021) - [i33]M. Sadegh Saberian, Kathleen P. Moriarty, Andrea D. Olmstead, Ivan Robert Nabi, François Jean, Maxwell W. Libbrecht, Ghassan Hamarneh:
DEEMD: Drug Efficacy Estimation against SARS-CoV-2 based on cell Morphology with Deep multiple instance learning. CoRR abs/2105.05758 (2021) - [i32]Weina Jin, Xiaoxiao Li, Ghassan Hamarneh:
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images. CoRR abs/2107.05047 (2021) - 2020
- [j60]Ismail M. Khater, Ivan Robert Nabi, Ghassan Hamarneh:
A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods. Patterns 1(3): 100038 (2020) - [j59]Anmol Sharma, Ghassan Hamarneh:
Missing MRI Pulse Sequence Synthesis Using Multi-Modal Generative Adversarial Network. IEEE Trans. Medical Imaging 39(4): 1170-1183 (2020) - [j58]Ben Cardoen, Hanene Ben Yedder, Anmol Sharma, Keng C. Chou, Ivan Robert Nabi, Ghassan Hamarneh:
ERGO: Efficient Recurrent Graph Optimized Emitter Density Estimation in Single Molecule Localization Microscopy. IEEE Trans. Medical Imaging 39(6): 1942-1956 (2020) - [c143]Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew:
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images. CVPR Workshops 2020: 3132-3141 - [c142]Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh:
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. ISBI 2020: 781-785 - [c141]Saeed Izadi, Ghassan Hamarneh:
Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising. MICCAI (5) 2020: 46-55 - [i31]Hanene Ben Yedder, Ben Cardoen, Ghassan Hamarneh:
Deep Learning for Biomedical Image Reconstruction: A Survey. CoRR abs/2002.12351 (2020) - [i30]Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew:
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images. CoRR abs/2003.10111 (2020) - [i29]Saeed Izadi, Ghassan Hamarneh:
Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising. CoRR abs/2003.11177 (2020) - [i28]Kumar Abhishek, Ghassan Hamarneh:
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation. CoRR abs/2010.13454 (2020) - [i27]Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi, Ghassan Hamarneh:
D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation. CoRR abs/2012.07206 (2020)
2010 – 2019
- 2019
- [j57]Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, Ghassan Hamarneh:
Identification of caveolin-1 domain signatures via machine learning and graphlet analysis of single-molecule super-resolution data. Bioinform. 35(18): 3468-3475 (2019) - [j56]Colin J. Brown, Steven P. Miller, Brian G. Booth, Jill G. Zwicker, Ruth E. Grunau, Anne R. Synnes, Vann Chau, Ghassan Hamarneh:
Predictive connectome subnetwork extraction with anatomical and connectivity priors. Comput. Medical Imaging Graph. 71: 67-78 (2019) - [j55]Li Wang, Yinghuan Shi, Heung-Il Suk, J. Alison Noble, Ghassan Hamarneh:
Special issue on machine learning in medical imaging. Comput. Medical Imaging Graph. 74: 10-11 (2019) - [j54]Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh:
Combo loss: Handling input and output imbalance in multi-organ segmentation. Comput. Medical Imaging Graph. 75: 24-33 (2019) - [j53]Saurabh Garg, Ghassan Hamarneh, Allard Jongman, Joan A. Sereno, Yue Wang:
Computer-vision analysis reveals facial movements made during Mandarin tone production align with pitch trajectories. Speech Commun. 113: 47-62 (2019) - [j52]Jeremy Kawahara, Sara Daneshvar, Giuseppe Argenziano, Ghassan Hamarneh:
Seven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets. IEEE J. Biomed. Health Informatics 23(2): 538-546 (2019) - [j51]Jeremy Kawahara, Ghassan Hamarneh:
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features. IEEE J. Biomed. Health Informatics 23(2): 578-585 (2019) - [c140]Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh:
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CVPR 2019: 11340-11349 - [c139]Mengliu Zhao, Ghassan Hamarneh:
Retinal Image Classification via Vasculature-Guided Sequential Attention. ICCV Workshops 2019: 381-387 - [c138]Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh:
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. ICCV Workshops 2019: 476-484 - [c137]Yiqi Yan, Jeremy Kawahara, Ghassan Hamarneh:
Melanoma Recognition via Visual Attention. IPMI 2019: 793-804 - [c136]Hanene Ben Yedder, Majid Shokoufi, Ben Cardoen, Farid Golnaraghi, Ghassan Hamarneh:
Limited-Angle Diffuse Optical Tomography Image Reconstruction Using Deep Learning. MICCAI (1) 2019: 66-74 - [c135]Kumar Abhishek, Ghassan Hamarneh:
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis. SASHIMI@MICCAI 2019: 71-80 - [c134]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans. MICCAI (6) 2019: 130-138 - [c133]Zahra Mirikharaji, Yiqi Yan, Ghassan Hamarneh:
Learning to Segment Skin Lesions from Noisy Annotations. DART/MIL3ID@MICCAI 2019: 207-215 - [c132]Saeed Izadi, Darren B. Sutton, Ghassan Hamarneh:
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. MLMIR@MICCAI 2019: 236-244 - [c131]Chris Yoon, Ghassan Hamarneh, Rafeef Garbi:
Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification. MICCAI (4) 2019: 365-373 - [c130]Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI 2019: 417-425 - [c129]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network. MLMI@MICCAI 2019: 533-540 - [c128]Mengliu Zhao, Ghassan Hamarneh:
Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images. MLMI@MICCAI 2019: 637-645 - [c127]Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio:
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. MICCAI (6) 2019: 739-747 - [c126]Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh:
Improved Inference via Deep Input Transfer. MICCAI (6) 2019: 819-827 - [c125]Saeedeh Afshari, Aïcha BenTaieb, Zahra Mirikharaji, Ghassan Hamarneh:
Weakly supervised fully convolutional network for PET lesion segmentation. Medical Imaging: Image Processing 2019: 109491K - [i26]Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, Ghassan Hamarneh:
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. CoRR abs/1903.01015 (2019) - [i25]Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di-Jorio, Ghassan Hamarneh, Yoshua Bengio:
InfoMask: Masked Variational Latent Representation to Localize Chest Disease. CoRR abs/1903.11741 (2019) - [i24]Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh:
Improved Inference via Deep Input Transfer. CoRR abs/1904.02307 (2019) - [i23]Anmol Sharma, Ghassan Hamarneh:
Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. CoRR abs/1904.12200 (2019) - [i22]Jeremy Kawahara, Ghassan Hamarneh:
Visual Diagnosis of Dermatological Disorders: Human and Machine Performance. CoRR abs/1906.01256 (2019) - [i21]Zahra Mirikharaji, Yiqi Yan, Ghassan Hamarneh:
Learning to Segment Skin Lesions from Noisy Annotations. CoRR abs/1906.03815 (2019) - [i20]Kumar Abhishek, Ghassan Hamarneh:
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis. CoRR abs/1906.05845 (2019) - [i19]Saeed Izadi, Darren B. Sutton, Ghassan Hamarneh:
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. CoRR abs/1906.07802 (2019) - [i18]Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh:
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. CoRR abs/1908.03238 (2019) - [i17]Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh:
Deep Semantic Segmentation of Natural and Medical Images: A Review. CoRR abs/1910.07655 (2019) - [i16]Shahab Aslani, Vittorio Murino, Michael Dayan, Roger C. Tam, Diego Sona, Ghassan Hamarneh:
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. CoRR abs/1910.10035 (2019) - [i15]Aïcha BenTaieb, Ghassan Hamarneh:
Deep Learning Models for Digital Pathology. CoRR abs/1910.12329 (2019) - [i14]Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh:
Signed Input Regularization. CoRR abs/1911.07086 (2019) - [i13]Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, Ghassan Hamarneh:
Applying Artificial Intelligence to Glioma Imaging: Advances and Challenges. CoRR abs/1911.12886 (2019) - 2018
- [j50]Saeid Asgari Taghanaki, Nóirín Duggan, Hillgan Ma, Xinchi Hou, Anna Celler, François Bénard, Ghassan Hamarneh:
Segmentation-free direct tumor volume and metabolic activity estimation from PET scans. Comput. Medical Imaging Graph. 63: 52-66 (2018) - [j49]Saeedeh Afshari, Aïcha BenTaieb, Ghassan Hamarneh:
Automatic localization of normal active organs in 3D PET scans. Comput. Medical Imaging Graph. 70: 111-118 (2018) - [j48]Peyman Gholami, Mohammad Ali Ahmadi-Pajouh, Nabiollah Abolftahi, Ghassan Hamarneh, Mohammad Kayvanrad:
Segmentation and Measurement of Chronic Wounds for Bioprinting. IEEE J. Biomed. Health Informatics 22(4): 1269-1277 (2018) - [j47]Aïcha BenTaieb, Ghassan Hamarneh:
Adversarial Stain Transfer for Histopathology Image Analysis. IEEE Trans. Medical Imaging 37(3): 792-802 (2018) - [c124]Saurabh Garg, Ghassan Hamarneh, Allard Jongman, Joan A. Sereno, Yue Wang:
Joint Gender-, Tone-, Vowel- Classification Via Novel Hierarchical Classification for Annotation of Monosyllabic Mandarin Word Tokens. ICASSP 2018: 5744-5748 - [c123]Colin J. Brown, Jeremy Kawahara, Ghassan Hamarneh:
Connectome priors in deep neural networks to predict autism. ISBI 2018: 110-113 - [c122]Zahra Mirikharaji, Saeed Izadi, Jeremy Kawahara, Ghassan Hamarneh:
Deep auto-context fully convolutional neural network for skin lesion segmentation. ISBI 2018: 877-880 - [c121]Saeed Izadi, Zahra Mirikharaji, Jeremy Kawahara, Ghassan Hamarneh:
Generative adversarial networks to segment skin lesions. ISBI 2018: 881-884 - [c120]Mengliu Zhao, Ghassan Hamarneh:
TreeNet: Multi-loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical Trees. DLMIA/ML-CDS@MICCAI 2018: 47-55 - [c119]Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh:
Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements? MICCAI (1) 2018: 57-64 - [c118]Saeid Asgari Taghanaki, Arkadeep Das, Ghassan Hamarneh:
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. MLCN/DLF/iMIMIC@MICCAI 2018: 87-94 - [c117]Hanene Ben Yedder, Aïcha BenTaieb, Majid Shokoufi, Amir Zahiremami, Farid Golnaraghi, Ghassan Hamarneh:
Deep Learning Based Image Reconstruction for Diffuse Optical Tomography. MLMIR@MICCAI 2018: 112-119 - [c116]Aïcha BenTaieb, Ghassan Hamarneh:
Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. MICCAI (2) 2018: 129-137 - [c115]Mohammad Arafat Hussain, Ghassan Hamarneh, Rafeef Garbi:
Noninvasive Determination of Gene Mutations in Clear Cell Renal Cell Carcinoma Using Multiple Instance Decisions Aggregated CNN. MICCAI (2) 2018: 657-665 - [c114]Zahra Mirikharaji, Ghassan Hamarneh:
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation. MICCAI (4) 2018: 737-745 - [i12]Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR abs/1804.05181 (2018) - [i11]Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh:
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. CoRR abs/1805.02798 (2018) - [i10]Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh:
Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements? CoRR abs/1806.08338 (2018) - [i9]