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Hatem A. Rashwan
Hatem Abd Ellatif FatahAllah Ibrahim Mahmoud Rashwan
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2020 – today
- 2024
- [j27]Saif Khalid
, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga
FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning. Expert Syst. Appl. 238(Part C): 121644 (2024) - [c40]Najwa Sharaf, Hatem A. Rashwan, Saddam Abdulwahab, Domenec Puig:
SynthRetina: Revolutionizing Fundus Image Analysis Through Synthetic Data Enhancement. CCIA 2024: 16-25 - [c39]Muhammad Mursil, Hatem A. Rashwan, Luis Santos-Calderon, Michelle M. Murphy, Domenec Puig:
Impact of Maternal Nutrition on Neonatal Birthweight: A Machine Learning Study. CCIA 2024: 58-67 - [c38]Ammar M. Okran, Shaima Algabli, Hatem A. Rashwan, Domenec Puig:
Weakly Supervised Localization of Mammograms for Dense Breast Tissues. CCIA 2024: 78-79 - [c37]Ammar M. Okran, Hatem A. Rashwan, Domenec Puig:
Enhanced Crack Segmentation Network: Leveraging Multi-Dimensional Attention. CCIA 2024: 94-96 - [c36]Saif Khalid Musluh
Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis. OMIA@MICCAI 2024: 104-114 - [c35]Alessio Fiorin, Laia Adalid Llansa, Elena Goyda, Vincenzo Della Mea, Anna Korzynska, Shrief Abdelazeez, Ramon Bosch Príncep, Alba Fischer Carles, Noelia Gallardo Borràs, Marylène Lejeune, Daniel Mata Cano, Domenec Puig, Hatem A. Rashwan, Esther Sauras Colón, Mikel Relloso Ortiz de Uriarte, Laia Reverté Calvet, Carlos López Pablo:
Optimising Region of Interest Registration for Multiple-Tissue Whole Slide Images. WBIR 2024: 333-345 - [i20]Eddardaa Ben Loussaief, Mohammed Ayad, Domenec Puig, Hatem A. Rashwan:
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings. CoRR abs/2404.02738 (2024) - [i19]Saif Khalid, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga, Domenec Puig:
FGR-Net:Interpretable fundus imagegradeability classification based on deepreconstruction learning. CoRR abs/2409.10246 (2024) - 2023
- [j26]Daniel Padilla Carrasco
T-YOLO: Tiny Vehicle Detection Based on YOLO and Multi-Scale Convolutional Neural Networks. IEEE Access 11: 22430-22440 (2023) - [j25]Gaurav Kumar Yadav
Implicit regularization of a deep augmented neural network model for human motion prediction. Appl. Intell. 53(14): 18027-18040 (2023) - [j24]Armin Masoumian, Hatem A. Rashwan
GCNDepth: Self-supervised monocular depth estimation based on graph convolutional network. Neurocomputing 517: 81-92 (2023) - [j23]Saddam Abdulwahab
Deep Monocular Depth Estimation Based on Content and Contextual Features. Sensors 23(6): 2919 (2023) - [c34]Ammar M. Okran
Stacking Up for Success: A Cascade Network Model for Efficient Road Crack Segmentation. CCIA 2023: 38-47 - [i18]Eddardaa Ben Loussaief, Hatem A. Rashwan, Mohammed Ayad, Mohammed Zakaria Hassan, Domenec Puig:
Knowledge Distillation for Adaptive MRI Prostate Segmentation Based on Limit-Trained Multi-Teacher Models. CoRR abs/2303.09494 (2023) - 2022
- [j22]Joao Paulo Schwarz Schuler
An Enhanced Scheme for Reducing the Complexity of Pointwise Convolutions in CNNs for Image Classification Based on Interleaved Grouped Filters without Divisibility Constraints. Entropy 24(9): 1264 (2022) - [j21]Aditya Singh
Efficient deep learning-based semantic mapping approach using monocular vision for resource-limited mobile robots. Neural Comput. Appl. 34(18): 15617-15631 (2022) - [j20]Saddam Abdulwahab
Monocular depth map estimation based on a multi-scale deep architecture and curvilinear saliency feature boosting. Neural Comput. Appl. 34(19): 16423-16440 (2022) - [j19]Armin Masoumian
Monocular Depth Estimation Using Deep Learning: A Review. Sensors 22(14): 5353 (2022) - [c33]Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan, Domenec Puig:
Effective Deep Learning-Based Ensemble Model for Road Crack Detection. IEEE Big Data 2022: 6407-6415 - [c32]Gaurav Kumar Yadav
Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning. CCIA 2022: 139-142 - [c31]Ammar M. Okran, Mohamed Abdel-Nasser, Hatem A. Rashwan
A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives. CCIA 2022: 225-228 - 2021
- [j18]Md. Mostafa Kamal Sarker
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network. Expert Syst. Appl. 183: 115433 (2021) - [c30]Daniel Padilla, Hatem A. Rashwan
On Determining Suitable Embedded Devices for Deep Learning Models. CCIA 2021: 285-294 - [c29]Armin Masoumian
Absolute Distance Prediction Based on Deep Learning Object Detection and Monocular Depth Estimation Models. CCIA 2021: 325-334 - [c28]Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Hatem A. Rashwan
WEU-Net: A Weight Excitation U-Net for Lung Nodule Segmentation. CCIA 2021: 349-356 - [c27]Joao Paulo Schwarz Schuler, Santiago Romaní
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated Branches. CCIA 2021: 375-382 - [c26]Joao Paulo Schwarz Schuler, Santiago Romaní
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet. CCIA 2021: 383-391 - [c25]Saddam Abdulwahab, Hatem A. Rashwan
Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network. CCIA 2021: 392-401 - [c24]Saif Khalid
Efficient Fundus Image Gradeability Approach Based on Deep Reconstruction-Classification Network. CCIA 2021: 402-411 - [i17]Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Mohamed Abdel-Nasser, Domenec Puig, Hatem A. Rashwan:
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation. CoRR abs/2110.05144 (2021) - [i16]Armin Masoumian, David G. F. Marei, Saddam Abdulwahab, Julián Cristiano, Domenec Puig, Hatem A. Rashwan:
Absolute distance prediction based on deep learning object detection and monocular depth estimation models. CoRR abs/2111.01715 (2021) - [i15]Armin Masoumian, Pezhman Kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig-Valls:
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time. CoRR abs/2111.05308 (2021) - [i14]Armin Masoumian, Pezhman Kazemi, Mohammad Chehreghani Montazer, Hatem A. Rashwan, Domenec Puig-Valls:
Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum. CoRR abs/2111.05309 (2021) - [i13]Armin Masoumian, Hatem A. Rashwan, Saddam Abdulwahab, Julián Cristiano, Domenec Puig:
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network. CoRR abs/2112.06782 (2021) - 2020
- [j17]Vivek Kumar Singh
Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network. Expert Syst. Appl. 139 (2020) - [j16]Vivek Kumar Singh, Mohamed Abdel-Nasser
Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework. Expert Syst. Appl. 162: 113870 (2020) - [j15]Hatem A. Rashwan
Action representation and recognition through temporal co-occurrence of flow fields and convolutional neural networks. Multim. Tools Appl. 79(45-46): 34141-34158 (2020) - [j14]Saddam Abdulwahab
Adversarial Learning for Depth and Viewpoint Estimation From a Single Image. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2947-2958 (2020) - [c23]Armin Masoumian
Using The Feedback of Dynamic Active-Pixel Vision Sensor (Davis) to Prevent Slip in Real Time. ICMRE 2020: 63-67 - [c22]Armin Masoumian
Designing and Analyzing the PID and Fuzzy Control System for an Inverted Pendulum. ICMRE 2020: 199-203
2010 – 2019
- 2019
- [j13]Md. Mostafa Kamal Sarker
Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism. IEEE Access 7: 39069-39082 (2019) - [j12]Vivek Kumar Singh
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention. IEEE Access 7: 130552-130565 (2019) - [j11]Hatem A. Rashwan
Gait representation and recognition from temporal co-occurrence of flow fields. Mach. Vis. Appl. 30(1): 139-152 (2019) - [j10]Hatem A. Rashwan
Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object. IEEE Trans. Image Process. 28(9): 4429-4443 (2019) - [c21]Md. Mostafa Kamal Sarker
Food Places Classification in Egocentric Images Using Siamese Neural Networks. CCIA 2019: 145-151 - [c20]Saddam Abdulwahab, Hatem A. Rashwan
MGNet: Depth Map Prediction from a Single Photograph Using a Multi-Generative Network. CCIA 2019: 356-364 - [c19]Vivek Kumar Singh, Mohamed Abdel-Nasser
Mass Detection in Mammograms Using a Robust Deep Learning Model. CCIA 2019: 365-372 - [c18]Adel Saleh, Hatem A. Rashwan
FinSeg: Finger Parts Semantic Segmentation using Multi-scale Feature Maps Aggregation of FCN. VISIGRAPP (5: VISAPP) 2019: 77-84 - [c17]Saddam Abdulwahab, Hatem A. Rashwan
Effective 2D/3D Registration using Curvilinear Saliency Features and Multi-Class SVM. VISIGRAPP (5: VISAPP) 2019: 354-361 - [i12]Md. Mostafa Kamal Sarker
MobileGAN: Skin Lesion Segmentation Using a Lightweight Generative Adversarial Network. CoRR abs/1907.00856 (2019) - [i11]Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker
An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning. CoRR abs/1907.00887 (2019) - [i10]Farhan Akram, Vivek Kumar Singh, Hatem A. Rashwan, Mohamed Abdel-Nasser, Md. Mostafa Kamal Sarker
Adversarial Learning with Multiscale Features and Kernel Factorization for Retinal Blood Vessel Segmentation. CoRR abs/1907.02742 (2019) - 2018
- [j9]Mohamed Chafik Bakkay, Sylvie Chambon, Hatem A. Rashwan
Automatic detection of individual and touching moths from trap images by combining contour-based and region-based segmentation. IET Comput. Vis. 12(2): 138-145 (2018) - [j8]Antoni Martínez-Ballesté, Hatem A. Rashwan
Design and implementation of a secure and trustworthy platform for privacy-aware video surveillance. Int. J. Inf. Sec. 17(3): 279-290 (2018) - [c16]Md. Mostafa Kamal Sarker
CuisineNet: Food Attributes Classification Using Multi-Scale Convolution Network. CCIA 2018: 365-372 - [c15]Vivek Kumar Singh, Hatem A. Rashwan
Retinal Optic Disc Segmentation Using Conditional Generative Adversarial Network. CCIA 2018: 373-380 - [c14]Nasibeh Saffari, Hatem A. Rashwan
On Improving Breast Density Segmentation Using Conditional Generative Adversarial Networks. CCIA 2018: 386-393 - [c13]Md. Mostafa Kamal Sarker
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-Streams. ECCV Workshops (5) 2018: 423-433 - [c12]Mohamed Chafik Bakkay, Hatem A. Rashwan
BSCGAN: Deep Background Subtraction with Conditional Generative Adversarial Networks. ICIP 2018: 4018-4022 - [c11]Md. Mostafa Kamal Sarker
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. MICCAI (2) 2018: 21-29 - [c10]Vivek Kumar Singh, Santiago Romaní
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. MICCAI (2) 2018: 833-840 - [c9]Julián Cristiano
Study of Obstacle Avoidance Strategies for Efficient Autonomous Navigation of Wheeled Robots in Unknown Environments. WAF 2018: 44-55 - [i9]Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, Géraldine Morin, Vincent Charvillat:
Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object. CoRR abs/1802.09384 (2018) - [i8]Vivek Kumar Singh, Santiago Romaní, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Jordina Torrents-Barrena, Adel Saleh, Meritxell Arenas, Domenec Puig:
Conditional Generative Adversarial and Convolutional Networks for X-ray Breast Mass Segmentation and Shape Classification. CoRR abs/1805.10207 (2018) - [i7]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Syeda Furruka Banu, Adel Saleh, Vivek Kumar Singh, Forhad U. H. Chowdhury, Saddam Abdulwahab, Santiago Romaní, Petia Radeva, Domenec Puig:
SLSDeep: Skin Lesion Segmentation Based on Dilated Residual and Pyramid Pooling Networks. CoRR abs/1805.10241 (2018) - [i6]Md. Mostafa Kamal Sarker, Mohammed Jabreel, Hatem A. Rashwan, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network. CoRR abs/1805.12081 (2018) - [i5]Vivek Kumar Singh, Hatem A. Rashwan, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Saddam Abdulwahab, Najlaa Maaroof, Santiago Romaní, Domenec Puig:
Retinal Optic Disc Segmentation using Conditional Generative Adversarial Network. CoRR abs/1806.03905 (2018) - [i4]Vivek Kumar Singh, Hatem A. Rashwan, Adel Saleh, Farhan Akram, Md. Mostafa Kamal Sarker, Nidhi Pandey, Saddam Abdulwahab:
REFUGE CHALLENGE 2018-Task 2: Deep Optic Disc and Cup Segmentation in Fundus Images Using U-Net and Multi-scale Feature Matching Networks. CoRR abs/1807.11433 (2018) - [i3]Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Estefanía Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig:
MACNet: Multi-scale Atrous Convolution Networks for Food Places Classification in Egocentric Photo-streams. CoRR abs/1808.09829 (2018) - [i2]Vivek Kumar Singh, Hatem A. Rashwan, Santiago Romaní, Farhan Akram, Nidhi Pandey, Md. Mostafa Kamal Sarker, Adel Saleh, Meritxell Arenas, Miguel Arquez, Domenec Puig, Jordina Torrents-Barrena:
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. CoRR abs/1809.01687 (2018) - [i1]Mohamed Chafik Bakkay, Sylvie Chambon, Hatem A. Rashwan, Christian Lubat, Sébastien Barsotti:
Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images. CoRR abs/1809.06663 (2018) - 2017
- [j7]Mohamed Abdel-Nasser
Analyzing the evolution of breast tumors through flow fields and strain tensors. Pattern Recognit. Lett. 93: 162-171 (2017) - [c8]Hatem A. Rashwan
Towards Recognizing of 3D Models Using A Single Image. 3DOR@Eurographics 2017 - 2016
- [j6]Hatem A. Rashwan
Understanding trust in privacy-aware video surveillance systems. Int. J. Inf. Sec. 15(3): 225-234 (2016) - [j5]Hatem A. Rashwan
Defeating face de-identification methods based on DCT-block scrambling. Mach. Vis. Appl. 27(2): 251-262 (2016) - [c7]Hatem A. Rashwan
Towards multi-scale feature detection repeatable over intensity and depth images. ICIP 2016: 36-40 - 2015
- [j4]Mohamed Abdel-Nasser
Analysis of tissue abnormality and breast density in mammographic images using a uniform local directional pattern. Expert Syst. Appl. 42(24): 9499-9511 (2015) - [p1]Antoni Martínez-Ballesté, Agusti Solanas
Trustworthy Video Surveillance: An Approach Based on Guaranteeing Data Privacy. Advanced Research in Data Privacy 2015: 271-284 - 2014
- [b1]Hatem Abd Ellatif FatahAllah Ibrahim Mahmoud Rashwan:
Robust analysis and protection of dynamic scenes for privacy-aware video surveillance. University of Rovira i Virgili, Spain, 2014 - [j3]Mahmoud A. Mohamed
Illumination-Robust Optical Flow Using a Local Directional Pattern. IEEE Trans. Circuits Syst. Video Technol. 24(9): 1499-1508 (2014) - [c6]Antoni Martínez-Ballesté, Agusti Solanas, Marc Vives, Hatem A. Rashwan:
Privacy in Pervasive Video Surveillance - Trust through Technology and Users Cooperation. PECCS 2014: 49-54 - 2013
- [j2]Hatem A. Rashwan
Variational Optical Flow Estimation Based on Stick Tensor Voting. IEEE Trans. Image Process. 22(7): 2589-2599 (2013) - [c5]Hatem A. Rashwan
Illumination Robust Optical Flow Model Based on Histogram of Oriented Gradients. GCPR 2013: 354-363 - [c4]Antoni Martínez-Ballesté, Hatem A. Rashwan
A trustworthy database for privacy-preserving video surveillance. EDBT/ICDT Workshops 2013: 179-183 - [c3]Mahmoud A. Mohamed, Hatem A. Rashwan
On improving the robustness of variational optical flow against illumination changes. ARTEMIS@ACM Multimedia 2013: 1-8 - 2012
- [j1]Hatem A. Rashwan
Improving the robustness of variational optical flow through tensor voting. Comput. Vis. Image Underst. 116(9): 953-966 (2012) - [c2]Antoni Martínez-Ballesté, Hatem A. Rashwan
Towards a trustworthy privacy in pervasive video surveillance systems. PerCom Workshops 2012: 914-919 - 2011
- [c1]Hatem A. Rashwan
On improving the robustness of differential optical flow. ICCV Workshops 2011: 876-881
Coauthor Index
Domenec Puig
aka: Domenec Puig-Valls
aka: Domenec Puig-Valls
[j27] [c40] [c39] [c38] [c37] [c36] [c35] [i20] [i19] [j26] [j25] [j24] [j23] [c34] [i18] [j22] [j21] [j20] [j19] [c33] [c32] [c31] [j18] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [i17] [i16] [i15] [i14] [i13] [j17] [j16] [j15] [j14] [c23] [c22] [j13] [j12] [j11] [c21] [c20] [c19] [c18] [c17] [i12] [i11] [i10] [j8] [c16] [c15] [c14] [c13] [c11] [c10] [c9] [i8] [i7] [i6] [i5] [i3] [i2] [j7] [j6] [j5] [j4] [j3] [j2] [c5] [c4] [c3] [j1] [c2] [c1]
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last updated on 2024-10-31 20:18 CET by the dblp team
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