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3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning

Computerized medical imaging and graphics, 2019-10, Vol.77, p.101644-101644, Article 101644

2019

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PIK3CA amplification is predictive of poor prognosis in Tunisian patients with nasopharyngeal carcinoma

Cancer science, 2009-11, Vol.100 (11), p.2034-2039

2009

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Adenoid cystic carcinoma of head and neck

PAMJ clinical medicine, 2020-07, Vol.3

2020

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Adenoid cystic carcinoma of the breast

PAMJ clinical medicine, 2020-07, Vol.3

2020

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3006: Clinical markers of altered Body image in Patients with Head and Neck cancers

Radiotherapy and oncology, 2024-05, Vol.194, p.S1444-S1445

2024

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2986: Does altered Body image have a link with impaired sexuality in Patients with Head and Neck cancers?

Radiotherapy and oncology, 2024-05, Vol.194, p.S1441-S1442

2024

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A Comparative Study of Breast Cancer Screening by Age Across 10000 Tunisian Women

Reviews on recent clinical trials, 2016-09, Vol.11 (3), p.273-277

2016

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2961: Radiation therapy of oligometastatic prostate cancers as seen by radiation oncologists

Radiotherapy and oncology, 2024-05, Vol.194, p.S2595-S2596

2024

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3166: To what extent do patients treated for cancer suffer from depression during radiation therapy?

Radiotherapy and oncology, 2024-05, Vol.194, p.S5733-S5734

2024

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1173: Could musictherapy change colors perception's way in breast cancer patients undergoing radiotherapy?

Radiotherapy and oncology, 2024-05, Vol.194, p.S538-S539

2024

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2630: Which chemotherapy to associate with IMRT in locally advanced nasopharyngeal carcinoma?

Radiotherapy and oncology, 2024-05, Vol.194, p.S1415-S1417

2024

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Dosimetric impact on changes in target volumes during intensity-modulated radiotherapy for nasopharyngeal carcinoma

Reports of practical oncology and radiotherapy, 2020-01, Vol.25 (1), p.41-45

2020

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Hormone resistance and breast cancer in young women: Correlated factors and survival impact

The breast journal, 2020-09, Vol.26 (9), p.1900-1902

2020

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Association radiothérapie et trastuzumab : rationnel et implications cliniques

Bulletin du cancer, 2021-05, Vol.108 (5), p.501-512

2021

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A Deep Learning-Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment

2020 25th International Conference on Pattern Recognition (ICPR), 2021, p.3256-3263

2021

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Variations anatomiques des organes pelviens au cours de la radiothérapie conformationnelle avec modulation d’intensité des cancers de la prostate

PAMJ one health, 2022, Vol.8

2022

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La chimiothérapie néoadjuvante associée à la chimioradiothérapie concomitante dans le traitement du cancer du nasopharynx : expérience du Sud-Tunisien

Bulletin du cancer, 2018-05, Vol.105 (5), p.450-457

2018

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Automatic segmentation of nasopharyngeal carcinoma from CT images

International journal of biomedical engineering and technology, 2020, Vol.33 (3), p.240

2020

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Automatic segmentation of Nasopharyngeal carcinoma from CT images

International journal of biomedical engineering and technology, 2017, Vol.1 (1), p.1

2017

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Dose Distribution Prediction for Optimal Treamtment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma

Artificial Intelligence in Radiation Therapy, 2019, p.128-136

2019

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Conference abstracts of the of the 4th Congress of Tunisian Society of Oncology Radiotherapy (STOR). November 2018

Tunisie Medicale, 2018-12, Vol.96 (12), p.893-910

2018

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Late Toxicities after Conventional Radiotherapy for Nasopharyngeal Carcinoma: Incidence and Risk Factors

Journal of Radiotherapy, 2014-02, Vol.2014, p.1-8

2014

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A Method for Predicting Dose Distribution of Nasopharyngeal Carcinoma Cases by Multiple Deep Neural Networks

2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2020, p.1-6

2020

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3D segmentation of nasopharyngeal carcinoma from CT images using cascade deep learning

PIK3CA amplification is predictive of poor prognosis in Tunisian patients with nasopharyngeal carcinoma

Adenoid cystic carcinoma of head and neck

Adenoid cystic carcinoma of the breast

3006: Clinical markers of altered Body image in Patients with Head and Neck cancers

2986: Does altered Body image have a link with impaired sexuality in Patients with Head and Neck cancers?

A Comparative Study of Breast Cancer Screening by Age Across 10000 Tunisian Women

2961: Radiation therapy of oligometastatic prostate cancers as seen by radiation oncologists

3166: To what extent do patients treated for cancer suffer from depression during radiation therapy?

1173: Could musictherapy change colors perception's way in breast cancer patients undergoing radiotherapy?

2630: Which chemotherapy to associate with IMRT in locally advanced nasopharyngeal carcinoma?

Dosimetric impact on changes in target volumes during intensity-modulated radiotherapy for nasopharyngeal carcinoma

Hormone resistance and breast cancer in young women: Correlated factors and survival impact

Association radiothérapie et trastuzumab : rationnel et implications cliniques

A Deep Learning-Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment

Variations anatomiques des organes pelviens au cours de la radiothérapie conformationnelle avec modulation d’intensité des cancers de la prostate

La chimiothérapie néoadjuvante associée à la chimioradiothérapie concomitante dans le traitement du cancer du nasopharynx : expérience du Sud-Tunisien

Automatic segmentation of nasopharyngeal carcinoma from CT images

Automatic segmentation of Nasopharyngeal carcinoma from CT images

Dose Distribution Prediction for Optimal Treamtment of Modern External Beam Radiation Therapy for Nasopharyngeal Carcinoma

Conference abstracts of the of the 4th Congress of Tunisian Society of Oncology Radiotherapy (STOR). November 2018

Late Toxicities after Conventional Radiotherapy for Nasopharyngeal Carcinoma: Incidence and Risk Factors

A Method for Predicting Dose Distribution of Nasopharyngeal Carcinoma Cases by Multiple Deep Neural Networks

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