Research
The peer-reviewed science behind AIP
Peer-reviewed papers co-authored by our research team. Every entry links to the original journal or conference record.
34
publications listed
2,800+
citations
2013
first paper
- Journal of Cutaneous Medicine and Surgery2026Dermatology AIEvaluating the Difference in Diagnostic Accuracy on Common Dermatologic Conditions in Skin of Colour and the Impact of Artificially Processed Images
Cirone K, Akrout M, Abid L, Solis-Reyes S, Simpson R, Kiss N
DOI: 10.1177/12034754251408483Read the paper - IEEE Data Descriptions2026Dermatology AIDescriptor: ISIC Archive Multi-Annotator Dermoscopic Skin Lesion Segmentation Dataset (IMA++)
Abhishek K, Kawahara J, Hamarneh G
- MICCAI ISIC Skin Image Analysis Workshop (Springer LNCS)2025Dermatology AIWhat Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?
Abhishek K, Kawahara J, Hamarneh G
- MICCAI ISIC Skin Image Analysis Workshop (Springer LNCS)2024Dermatology AISegmentation Style Discovery: Application to Skin Lesion Images
Abhishek K, Kawahara J, Hamarneh G
- Deep Generative Models workshop, MICCAI (Springer LNCS)2024Dermatology AIDiffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images
Akrout M, Gyepesi B, Holló P, Poór A, Kincső B, Solis S, Cirone K, Kawahara J, Slade L, Abid L, Kovács M, Fazekas I
- JMIR Dermatology2024Dermatology AIAssessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones
Cirone K, Akrout M, Abid L, Oakley A
DOI: 10.2196/55508Read the paper - Journal of Cutaneous Medicine and Surgery2024Dermatology AIEvaluation of Vision LLMs GPT-4V and LLaVA for the Recognition of Features Characteristic of Melanoma
Cirone K, Akrout M, et al.
DOI: 10.1177/12034754231220934Read the paper
- EPIMI workshop, MICCAI (Springer LNCS)2022Dermatology AIA 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools
Akrout M, Amdouni F, Feriani N, Kourda J, Abid L
- Scientific Reports2021Dermatology AIPredicting the clinical management of skin lesions using deep learning
Abhishek K, Kawahara J, Hamarneh G
DOI: 10.1038/s41598-021-87064-7Read the paper - Medical Image Analysis2021Dermatology AISkin3D: Detection and longitudinal tracking of pigmented skin lesions in 3D total-body textured meshes
Zhao M, Kawahara J, Abhishek K, Shamanian S, et al.
- arXiv preprint2021Machine learningOptimizing Binary Symptom Checkers via Approximate Message Passing
Akrout M, Bellili F, Mezghani A, Amdouni H
DOI: 10.48550/arxiv.2111.00303Read the paper
- arXiv preprint2020Machine learningBilinear Generalized Vector Approximate Message Passing
Akrout M, Housseini A, Bellili F, Mezghani A
DOI: 10.48550/arxiv.2009.06854Read the paper
- Information Processing in Medical Imaging (IPMI), Springer LNCS2019Dermatology AIMelanoma Recognition via Visual Attention
Yan Y, Kawahara J, Hamarneh G
DOI: 10.1007/978-3-030-20351-1_62Read the paper - arXiv preprint2019Machine learningDeep Learning without Weight Transport
Akrout M, Wilson C, Humphreys PC, Lillicrap T, et al.
DOI: 10.48550/arxiv.1904.05391Read the paper - arXiv preprint2019Machine learningHacking Google reCAPTCHA v3 using Reinforcement Learning
Akrout I, Feriani A, Akrout M
DOI: 10.48550/arxiv.1903.01003Read the paper
- IEEE Journal of Biomedical and Health Informatics2018Dermatology AISeven-Point Checklist and Skin Lesion Classification Using Multitask Multimodal Neural Nets
Kawahara J, Daneshvar S, Argenziano G, Hamarneh G
DOI: 10.1109/jbhi.2018.2824327Read the paper - IEEE International Symposium on Biomedical Imaging (ISBI)2018Medical imagingConnectome priors in deep neural networks to predict autism
Brown CJ, Kawahara J, Hamarneh G
DOI: 10.1109/isbi.2018.8363534Read the paper - IEEE International Symposium on Workload Characterization (IISWC)2018Machine learningBenchmarking and Analyzing Deep Neural Network Training
Zhu H, Akrout M, Zheng B, Pelegris A, et al.
DOI: 10.1109/iiswc.2018.8573476Read the paper - IEEE International Symposium on Biomedical Imaging (ISBI)2018Dermatology AIDeep auto-context fully convolutional neural network for skin lesion segmentation
Mirikharaji Z, Izadi S, Kawahara J, Hamarneh G
DOI: 10.1109/isbi.2018.8363711Read the paper - IEEE Journal of Biomedical and Health Informatics2018Dermatology AIFully Convolutional Neural Networks to Detect Clinical Dermoscopic Features
Kawahara J, Hamarneh G
- PLOS ONE2018GenomicsAn open-source k-mer based machine learning tool for fast and accurate subtyping of HIV-1 genomes
Solis-Reyes S, Avino M, Poon AFY, Kari L
DOI: 10.1371/journal.pone.0206409Read the paper - IEEE International Symposium on Biomedical Imaging (ISBI)2018Dermatology AIGenerative adversarial networks to segment skin lesions
Izadi S, Mirikharaji Z, Kawahara J, Hamarneh G
DOI: 10.1109/isbi.2018.8363712Read the paper
- MICCAI workshop (GRAIL), Springer LNCS2017Dermatology AIGraph Geodesics to Find Progressively Similar Skin Lesion Images
Kawahara J, Moriarty KP, Hamarneh G
DOI: 10.1007/978-3-319-67675-3_4Read the paper - Computer Methods and Programs in Biomedicine2017Medical imagingPareto-optimal multi-objective dimensionality reduction deep auto-encoder for mammography classification
Taghanaki SA, Kawahara J, Miles B, Hamarneh G
DOI: 10.1016/j.cmpb.2017.04.012Read the paper
- NeuroImage2016Medical imagingBrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment
Kawahara J, Brown CJ, Miller SP, Booth BG, et al.
DOI: 10.1016/j.neuroimage.2016.09.046Read the paper - IEEE International Symposium on Biomedical Imaging (ISBI)2016Dermatology AIDeep features to classify skin lesions
Kawahara J, BenTaieb A, Hamarneh G
DOI: 10.1109/isbi.2016.7493528Read the paper - BMC Bioinformatics2016GenomicsAdditive methods for genomic signatures
Karamichalis R, Kari L, Konstantinidis S, Kopecki S, et al.
DOI: 10.1186/s12859-016-1157-8Read the paper - IEEE International Symposium on Biomedical Imaging (ISBI)2016Medical imagingMulti-loss convolutional networks for gland analysis in microscopy
BenTaieb A, Kawahara J, Hamarneh G
DOI: 10.1109/isbi.2016.7493349Read the paper - Machine Learning in Medical Imaging workshop, MICCAI (Springer LNCS)2016Dermatology AIMulti-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers
Kawahara J, Hamarneh G
DOI: 10.1007/978-3-319-47157-0_20Read the paper
- Middle East Conference on Biomedical Engineering (MECBME)2014Medical imagingTowards multi-modal image-guided tumour identification in robot-assisted partial nephrectomy
Hamarneh G, Amir-Khalili A, Nosrati MS, Figueroa IO, et al.
DOI: 10.1109/mecbme.2014.6783230Read the paper - MICCAI (Springer LNCS)2014Medical imagingAutomatic Labelling of Tumourous Frames in Free-Hand Laparoscopic Ultrasound Video
Kawahara J, Peyrat J, Abinahed J, Al-Alao O, et al.
DOI: 10.1007/978-3-319-10470-6_84Read the paper - Springer Lecture Notes in Computational Vision and Biomechanics2014Medical imagingNovel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients
Kawahara J, McIntosh C, Tam R, Hamarneh G
DOI: 10.1007/978-3-319-07269-2_6Read the paper
- Machine Learning in Medical Imaging workshop, MICCAI (Springer LNCS)2013Medical imagingAugmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation
Kawahara J, McIntosh C, Tam R, Hamarneh G
DOI: 10.1007/978-3-319-02267-3_27Read the paper - IEEE International Symposium on Biomedical Imaging (ISBI)2013Medical imagingGlobally optimal spinal cord segmentation using a minimal path in high dimensions
Kawahara J, McIntosh C, Tam R, Hamarneh G
DOI: 10.1109/isbi.2013.6556608Read the paper