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Publications 2024 - Thesis / Conference / Review / Supplement

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8 hours 17 minutes ago #17 by christophe.nioche
Publications 2024 - Thesis / Conference / Review / Supplement was created by christophe.nioche
Thesis (4):
  1. LIFEx-texture: JM Steger. Texturale und kinetische Analyse von Aminosäure-PET-Daten: Radiomics “zum Monitoring der antiangiogenen Therapie beim Glioblastom. 2024. kups.ub.uni-koeln.de/74094/1/DissertationsschriftJanSteger.pdf
  2. LIFEx-texture: Louis Rebaud. Whole-body / total-body biomarkers in PET imaging.  theses.hal.science/tel-04618815
  3. LIFEx-texture: Evaluation of texture analysis capabilities computed tomographic images in complex diagnostics of hepatocellular cancer. National Medical Center Vidshnevsky, Russian Federation. Dissertation. 2023. ( link )
  4. LIFEx-texture: Dominik Steube. Deep Learning Ansätze zur automatischen Klassifikation und Segmentierung von PET/CT Daten. Universität Ulm. doi.org/10.18725/OPARU-53062
 Conference (8) :
  1. LIFEx-texture: Francesco Bianconi, Mario L. Fravolini, Elena Caltana. Muhammad U. Khan1,2 Barbara Palumbo. Classification of lung nodules on CT via pseudo-colour images and deep features from pre-trained convolutional networks. CCIW 2024, Milan, 25–27 Sep. 2024 www.bianconif.net/stuff/CCIW-2024-bianconi.pdf
  2. LIFEx-texture: A. Kordonis, K. Niapou, S. Paisiou, M.-E. Tomazinaki, A. Karaiskou, N. Bertsekas, P. Rondogianni, A. Samartzis. Comparison of PET Textural Metrics in Different Platforms based on Phantom Studies. 2nd Panhellenic congress of medical physics. oct 2024, Eugenides foundation pcmp2024.medical-physics.eu/wp-content/u...ds/2024/10/P_3_6.pdf
  3. LIFEx-texture: Sharma, N., Balogova, S., Noskovicova, L., Montravers, F., Talbot, JN., Trentin, E. (2024). Automatic Interpretation of F-Fluorocholine PET/CT Findings in Patients with Primary Hyperparathyroidism: A Novel Dataset with Benchmarks. In: Suen, C.Y., Krzyzak, A., Ravanelli, M., Trentin, E., Subakan, C., Nobile, N. (eds) Artificial Neural Networks in Pattern Recognition. ANNPR 2024. Lecture Notes in Computer Science(), vol 15154. Springer, Cham. doi.org/10.1007/978-3-031-71602-7_7
  4. LIFEx-texture: 925P External validation of the CD8 radiomics signature as a prognostic marker in recurrent or metastatic head and neck cancer treated with nivolumab. Adrien, L. et al. Annals of Oncology, Volume 35, S646 - S647
  5. LIFEx-texture: Kuznetsov A.I. Development of a prognostic model for diagnosis of prostate cancer based on radiomics of biparametric magnetic resonance imaging apparent diffusion coefficient maps and stacking of machine learning algorithms // Digital Diagnostics. - 2024. - Vol. 5. - N. 1S. - P. 80-82. doi.org/10.17816/DD626145
  6. LIFEx-texture: Prediction of adrenal masses nature through texture analysis and deep learning: Preliminary results from ENS@T RADIO-AI multicentric study. Lorenzo Tucci, Giulio Vara, Valentina Morelli, Edelmiro Luis Menendez Torre, Ulrich Dischinger, Athina Markou, Massimo Terzolo, Ariadni Spyroglou, Chiara Parazzoli, Aresta Carmen, Iacopo Chiodini, Diego Rivas, Alba Gutiérrez, Wiebke Schlötelburg, Krystallenia Alexandraki, Soraya Puglisi, Ilaria Improta, Antonio De Leo, Saverio Selva, Laura Alberici, Andrea De Giglio, Maria Abbondanza Pantaleo, Caterina Balacchi, Cristina Mosconi, Valentina Vicennati, Uberto Pagotto & Guido Di Dalmazi. Endocrine Abstracts (2024) 99 OC11.3, doi.org/10.1530/endoabs.99.OC11.3
  7. LIFEx-texture: Lorenzo Tucci, Antonio De Leo, Giulio Vara, Kimberly Coscia, Saverio Selva, Claudio Ricci, Laura Alberici, Caterina Balacchi, Donatella Santini, Valentina Vicennati, Uberto Pagotto, Cristina Mosconi, Giovanni Tallini & Guido Di Dalmazi. Radiomics for immunohistochemistry prediction in pheochromocytoma: a pilot study. Endocrine Abstracts (2024) 99 EP326, https//doi.org/10.1530/endoabs.99.EP326
  8. LIFEx-texture: Philip, M., Watts, J., Welch, A., McKiddie, F., Nath, M. XGBoost classifier-based survival prediction in head and neck cancer patients using pre-treatment PET images. 27th Conference on Medical Image Understanding and Analysis 2023. Foresterhill, Aberdeen, Scotland p192.  www.pure.ed.ac.uk/ws/portalfiles/portal/...9782832512319_1_.PDF
 Review (17):
  1. LIFEx-texture: Patel K, Sanghvi H, Gill G S, et al. (December 10, 2024) Differentiating Cystic Lesions in the Sellar Region of the Brain Using Artificial Intelligence and Machine Learning for Early Diagnosis: A Prospective Review of the Novel Diagnostic Modalities. Cureus 16(12): e75476. doi.org/10.7759/cureus.75476
  2. LIFEx-texture: Cè, M.; Chiriac, M.D.; Cozzi, A.; Macrì, L.; Rabaiotti, F.L.; Irmici, G.; Fazzini, D.; Carrafiello, G.; Cellina, M. Decoding Radiomics: A Step-by-Step Guide to Machine Learning Workflow in Hand-Crafted and Deep Learning Radiomics Studies. Diagnostics 2024, 14, 2473.  doi.org/10.3390/diagnostics14222473
  3. LIFEx-texture: Andria Nicolaou, Christos P. Loizou, Marios Pantzaris, and Constantinos S. Pattichis. A Systematic Review of Quantitative MRI Brain Analysis Studies in Multiple Sclerosis Disease. IEEEAccess.  doi.org/10.1109/ACCESS.2024.3489798
  4. LIFEx-texture: Víctor M. Oyervides-Juárez, Alder E. Perales-Mendoza, Sofía N. Sánchez-Morales, Marianela Madrazo-Morales, Mayela Z. Gutiérrez-Guajardo*, and Oscar Vidal-Gutiérrez. The innovation of mediastinal staging in lung cancer with artificial intelligence. Medicina Universitaria,  2024;26(3):86-91 doi.org/10.24875/RMU.24000007
  5. LIFEx-texture: Zhang, Y., Huang, W., Jiao, H. et al. PET radiomics in lung cancer: advances and translational challenges. EJNMMI Phys 11, 81 (2024).  doi.org/10.1186/s40658-024-00685-5
  6. LIFEx-texture: Aouadi, Souha, et al. ‘Review of Cervix Cancer Classification Using Radiomics on Diffusion-Weighted Imaging’. Biomedical Engineering, IntechOpen, 31 July 2024. Crossref,  doi.org/10.5772/intechopen.107497
  7. LIFEx-texture: Dong, D. et al. (2024). Radiomics and Multiomics Research. In: Liu, S. (eds) Artificial Intelligence in Medical Imaging in China. Springer, Singapore. doi.org/10.1007/978-981-99-8441-1_4
  8. LIFEx-texture: Amrane, K., Meur, C.L., Thuillier, P. et al. Review on radiomic analysis in 18F-fluorodeoxyglucose positron emission tomography for prediction of melanoma outcomes. Cancer Imaging 24, 87 (2024).  doi.org/10.1186/s40644-024-00732-5
  9. LIFEx-texture: Zhaoshuo Diao, Huiyan Jiang. A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features. Computers in Biology and Medicine, 2024, 108461, ISSN 0010-4825,  doi.org/10.1016/j.compbiomed.2024.108461
  10. LIFEx-main: Varlamova, E.V.; Butakova, M.A.; Semyonova, V.V.; Soldatov, S.A.; Poltavskiy, A.V.; Kit, O.I.; Soldatov, A.V. Machine Learning Meets Cancer. Cancers 2024, 16, 1100.  doi.org/10.3390/cancers16061100
  11. LIFEx-texture: Tapper, W.; Carneiro, G.; Mikropoulos, C.; Thomas, S.A.; Evans, P.M.; Boussios, S. The Application of Radiomics and AI to Molecular Imaging for Prostate Cancer. J. Pers. Med. 2024, 14, 287. doi.org/ 10.3390/jpm14030287
  12. LIFEx-texture: Anghel, C.; Grasu, M.C.; Anghel, D.A.; Rusu-Munteanu, G.-I.; Dumitru, R.L.; Lupescu, I.G. Pancreatic Adenocarcinoma: Imaging Modalities and the Role of Artificial Intelligence in Analyzing CT and MRI Images. Diagnostics 2024, 14, 438. doi.org/10.3390/diagnostics14040438
  13. LIFEx-texture: Shiva Singh, Bahram Mohajer, Shane A. Wells, Tushar Garg, Kate Hanneman, Takashi Takahashi, Omran AlDandan, Morgan P. McBee, Anugayathri Jawahar. Imaging Genomics and Multiomics: A Guide for Beginners Starting Radiomics-Based Research, Academic Radiology,2024, ISSN 1076-6332, doi.org/10.1016/j.acra.2024.01.024
  14. LIFEx-texture: Ballal et al. (2023). A systematic review of the management and implications of radiation-induced lymphopenia and the predictive rate of radiomic-based approaches in lung cancer Multidiscip. Rev. (2023) 6:e2023ss008, Supplementary Issue: Medical (AlliedCon 2023). doi.org/10.31893/multirev.2023ss008
  15. LIFEx-texture: Akin, O.; Lema-Dopico, A.; Paudyal, R.; Konar, A.S.; Chenevert, T.L.; Malyarenko, D.; Hadjiiski, L.; Al-Ahmadie, H.; Goh, A.C.; Bochner, B.; et al. Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies. Cancers 2023, 15, 5468. doi.org/10.3390/ cancers15225468
  16. LIFEx-texture: Shiva Singh, Bahram Mohajer, Shane A. Wells, Tushar Garg, Kate Hanneman, Takashi Takahashi, Omran AlDandan, Morgan P. McBee, Anugayathri Jawahar. Imaging Genomics and Multiomics: A Guide for Beginners Starting Radiomics-Based Research,2024, ISSN 1076-6332, doi.org/10.1016/j.acra.2024.01.024
  17. LIFEx-texture: Liu, J.; Cundy, T.P.; Woon, D.T.S.; Lawrentschuk, N. A Systematic Review on Artificial Intelligence Evaluating Metastatic Prostatic Cancer and Lymph Nodes on PSMA PET Scans. Cancers 2024, 16, 486. doi.org/10.3390/cancers16030486
 Supplement (16):
  1. LIFEx-main: S Soares Brandao, A G S M Saura Martins, R J C A M Cavalcanti Amorim Martins, J M D R S Duarte Ribeiro Sobrinho, M M C B De Moraes Chaves Becker, R O B De Oliveira Buril, V O M De Oliveira Menezes, F A M Alves Mourato, Nearly perfect reproducibility degree of computed tomography in the evaluation of subcutaneous, visceral, and epicardial adipose volumes and radiodensities in lymphoma patients, European Heart Journal - Cardiovascular Imaging, Volume 25, Issue Supplement_1, July 2024, jeae142.015, doi.org/10.1093/ehjci/jeae142.015
  2. LIFEx-main: S Soares Brandao, R J C A M Cavalcanti Amorim Martins, A G S M Saura Martins, J M D R S Duarte Ribeiro Sobrinho, M M C B De Moraes Chaves Becker, R O B De Oliveira Buril, V O M De Oliveira Menezes, F A M Alves Mourato, Comparative analysis of volume and distribution of body fat in patients with lymphoma before and after chemotherapy, European Heart Journal - Cardiovascular Imaging, Volume 25, Issue Supplement_1, July 2024, jeae142.014, doi.org/10.1093/ehjci/jeae142.014
  3. LIFEx-texture: Auriac Julie, Mathilde Droguet, Lalith Kumar Shiyam Sundar, Romain-David Seban, Marie Luporsi, Manuel Pires, Christophe Nioche, Thomas Beyer, François-Clément Bidard, Irene Buvat, Fanny Orlhac. Prognostic stratification of metastatic triple-negative breast cancer patients using PET-radiomic features from malignant and tumor-free regions. Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 241952; jnm.snmjournals.org/content/65/supplement_2/241952.abstract
  4. LIFEx-MTV: Fanny Orlhac, Narinée Hovhannisyan Baghdasarian, Hornella Fokem-Fosso, Marie Luporsi, HubertTissot, Christophe Nioche, Alain Livartowski, Paulette Salamoun-Feghali, Nadia Hegarat, NicolasGirard, Irene Buvat. Quantification of lesion dissemination (Dmax) in [18F]FDG-PET/CT imaging: a prognostic factor complementary to Total Metabolic Tumor Volume (TMTV) for advanced non-small cell lung cancer patients. Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 241937; jnm.snmjournals.org/content/65/supplement_2/241927.abstract
  5. LIFEx-main: Auriac Julie, Lalith Kumar Shiyam Sundar, Romain-David Seban, Marie Luporsi, Christophe Nioche, Thomas Beyer, Irene Buvat, Fanny Orlhac. MOOSE vs TotalSegmentator: Comparison of feature values of segmented anatomical regions in [18F]FDG PET/CT images Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 241948; jnm.snmjournals.org/content/65/supplement_2/241927.abstract
  6. LIFEx-MTV: Mathilde Droguet, Lalith Kumar Shiyam Sundar, Manuel Pires, Narinée Hovhannisyan Baghdasarian, Nicolas Captier, Marie Luporsi, Erwin Woff, Christophe Nioche, Frédérique Frouin, Thomas Beyer, Nicolas Girard, Irene Buvat, Fanny Orlhac. Automated segmentation of lesions in [18F]FDG PET/CT images of lung cancer patients: external evaluation of an AI-driven lesion segmentation tool (LION). Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 241927; jnm.snmjournals.org/content/65/supplement_2/241927.abstract
  7. LIFEx-texture: Victor Comte, Hornella Fokem-Fosso, Olivier Humbert, Narinée Hovhannisyan Baghdasarian, NicolasCaptier, Marie Luporsi, Erwin Woff, Christophe Nioche, Nicolas Girard, Irene Buvat, Fanny Orlhac. Development and external validation of a PET-radiomic model to predict overall survival in advanced NSCLC patients treated by immunotherapy. Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 241256; ; jnm.snmjournals.org/content/65/supplement_2/241256.abstract
  8. LIFEx-texture: Dwivedi Pooja, Jha Ashish, Choudhury Sayak, Barage Sagar and RANGARAJAN, VENKATESH. Exploring the impact of feature selection methods and classification algorithms on the predictive performance of PET radiomic ML models in lung cancer ; Journal of Nuclear Medicine, J Nucl Med, 24133, 24133, 65, supplement 2, 2024/06/01;  jnm.snmjournals.org/content/65/supplement_2/24133.abstract
  9. LIFEx-texture:  Monica Yadav, Jeeyeon Lee, Haseok Kim, Seyoung Lee, Taegyu Um, Salie Lee, Trie Arni Djunadi, Liam IL Young Chung, Jisang Yu, DarrenRodrigues, Nicolo Gennaro, Leeseul Kim, Yuchan Kim, Myungwoo Nam, Ilene Hong, Jessica Jang, Amy Cho, Grace Kang, Yury Velichko, and Young Kwang Chae. Harmonization radiomics model to predict immune checkpoint inhibitor-related pneumonitis (CIP) in patients with non-small cell lung cancer (NSCLC). Meeting Abstract: 2024 ASCO Annual Meeting I. Journal of Clinical Oncology. Volume 42, Number 16_suppl. ascopubs.org/doi/abs/10.1200/JCO.2024.42.16_suppl.12142
  10. LIFEx-texture: Koki Enomoto, Soichiro Yoshida, Haruto Izumi, Sho Uehara, Yoh Matsuoka, Kohei Yamamoto, Daisuke Hirahara, Tatsunori Saho, Eichi Takaya, Shohei Fukuda, Yuma Waseda, Hajime Tanaka, Kenichi Ohashi and Yasuhisa Fujii. Are the differences in MRI findings between CRIBRIFORM and NON-CRIBRIFORM Cancer? An analysis using radiomics and delta-radiomics. The Journal of urology. Vol. 211, No. 5S, Supplement, Saturday, May 4, 2024; e443. doi.org/10.1097/01.JU.0001009448.41537.64.09
  11. LIFEx-texture: M Winkelmann, V Blumenberg, K Rejeski, V Bücklein, C Schmidt, F Dekorsy, P Bartenstein, J Ricke, M Subklewe, W Kunz. Charakterisierung des International Metabolic Prognostic Index (IMPI) und seiner Komponenten im Rahmen der CAR-T-Zell-Behandlung von Lymphomen. Rofo 2024; 196(S 01): S51.  doi.org/10.1055/s-0044-1781616
  12. LIFEx-texture: Abstracts - 23rd FHNO Conference, 2023. Journal of Head & Neck Physicians and Surgeons 12(Suppl 2):p S1-S115, April 2024. | DOI: 10.4103/2347-8128.243190
  13. LIFEx-texture: Seyoung Lee, Kai Zhang, Jeeyeon Lee, Peter Haseok Kim, Amogh Hiremath, Salie Lee, Monica Yadav, Maria J. Chuchuca, Taegyu Um, Myungwoo Nam, Liam Il-Young Chung, Hye Sung Kim, Jisang Yu, Trie Arni Djunadi, Leeseul Kim, Youjin Oh, Sungmi Yoon, Zunairah Shah, Yuchan Kim, Ilene Hong, Grace Kang, Jessica Jang, Amy Cho, Soowon Lee, Cecilia Nam, Timothy Hong, Yuri S. Velichko, Anant Madabhushi, Nathaniel Braman, Young Kwang Chae. Accelerated and precise tumor segmentation in NSCLC: A comparative analysis of automated ClickSeg and manual annotation for radiomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2595. doi.org/10.1158/1538-7445.AM2024-2595
  14. LIFEx-texture: Monica Yadav, Jeeyeon Lee, Peter Haseok Kim, Seyoung Lee, Taegyu Um, Salie Lee, Maria Jose Chuchuca, Trie Arni Djunadi, Liam Il-Young Chung, Jisang Yu, Darren Rodrigues, Nicolo Gennaro, Leeseul Kim, Myungwoo Nam, Youjin Oh, Sungmi Yoon, Zunairah Shah, Yuchan Kim, Ilene Hong, Jessica Jang, Grace Kang, Amy Cho, Soowon Lee, Timothy Hong, Cecilia Nam, Yury S Velichko, Young Kwang Chae. Harmonization radiomics models to predict tumor response in non-small cell lung cancer (NSCLC) patients treated with immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7530.  doi.org/10.1158/1538-7445.AM2024-7530
  15. LIFEx-texture: Monica Yadav, Jeeyeon Lee, Peter Haseok Kim, Seyoung Lee, Taegyu Um, Salie Lee, Maria Jose Chuchuca, Trie Arni Djunadi, Liam Il-Young Chung, Jisang Yu, Darren Rodrigues, Nicolo Gennaro, Leeseul Kim, Myungwoo Nam, Youjin Oh, Sungmi Yoon, Zunairah Shah, Yuchan Kim, Ilene Hong, Jessica Jang, Grace Kang, Amy Cho, Soowon Lee, Timothy Hong, Cecilia Nam, Yury S Velichko, Young Kwang Chae. Harmonization radiomics model to predict immune checkpoint inhibitor-related pneumonitis (CIP) in non small cell lung cancer (NSCLC) in patients treated with immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7529. doi.org/10.1158/1538-7445.AM2024-7529
  16. LIFEx-texture: Seyoung Lee, Amogh Hiremath, Jeeyeon Lee, Peter Haseok Kim, Kai Zhang, Salie Lee, Monica Yadav, Maria J. Chuchuca, Taegyu Um, Myungwoo Nam, Liam Il-Young Chung, Hye Sung Kim, Jisang Yu, Trie Arni Djunadi, Leeseul Kim, Youjin Oh, Sungmi Yoon, Zunairah Shah, Yuchan Kim, Ilene Hong, Grace Kang, Jessica Jang, Amy Cho, Soowon Lee, Cecilia Nam, Timothy Hong, Yuri S. Velichko, Vamsidhar Velcheti, Anant Madabhushi, Nathaniel Braman, Young Kwang Chae. AI-powered radiomics model predicts immune checkpoint inhibitor-related pneumonitis (CIP) in advanced NSCLC patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2594.  doi.org/10.1158/1538-7445.AM2024-2594
Others (11):
  1. LIFEx-texture: DP Morán, MA Gómez Bermejo, E Canales Lachen, E García Santana, R García Latorre, M Cámara Gallego, R Colmenares Fernández, A Belén Capuz Suárez, MJ Béjar Navarro, JD García Fuentes, DS Martinez, R Morís Pablos. J Blázquez Sanchez, F García Vicente. Comparison of different machine learning methods for the classification of indeterminate adrenal lesions incidentally diagnosed in contrast enhanced CT. Rev Fis Med 2024;25(2)(Julio-Diciembre):13-23. doi.org/10.37004/sefm/2024.25.2.001
  2. LIFEx-texture: DP Morán, MA Gómez Bermejo, E Canales Lachen, E García Santana, R García Latorre, M Cámara Gallego, R Colmenares Fernández, A Belén Capuz Suárez, MJ Béjar Navarro, JD García Fuentes, D Sevillano Martinez, R Morís Pablos, J Blázquez Sanchez, F García Vicente. C omparativa de diferentes modelos radiómicos para la clasificación de lesiones adrenales indeterminadas diagnosticadas de forma incidental en TC con contraste . Rev Fis Med 2024;25(2)(Julio-Diciembre):13-23 . doi.org/10.37004/sefm/2024.25.2.001
  3. LIFEx-texture: Lian, A. et al. Correlation between Changes in Primary Tumor Radiomic Features and Response during Definitive Radiation for Lung Cancer. International Journal of Radiation Oncology, Biology, Physics, Volume 120, Issue 2, e155 - e156 ( link )
  4. LIFEx-texture: The value of machine learning models based on 18F-FDG PET/CT radiomics for predicting the degree of tumour differentiation in patients with non-small cell lung cancer YU Jun, LI Yang, YANG Xue, BI Xiaofeng, REN Dongdong, REN Chunling, HUANG Lei. Department of Nuclear Medicine, Ningbo Mingzhou. Hospital, Ningbo 315100, China. R734.2; R445.6 DOI:  10.3969/j.issn.2095-9400.2024.09.003 ;
  5. LIFEx-MTV: S. Gülbahar Ateş, B.B. Demirel, E. Kekilli, E. Öztürk, G. Uçmak. Heterogeneidad del tumor primario en la PET/TC con [68Ga]Ga-PSMA previa al tratamiento para la predicción de la recurrencia bioquímica en el cáncer de próstata. Revista Española de Medicina Nuclear e Imagen Molecular, 2024, 500032, ISSN 2253-654X,  doi.org/10.1016/j.remn.2024.500032
  6. LIFEx-texture: N. Agüloğlu, A. Aksu, D.S. Unat, Ö. Selim Unat. Valor del análisis de la textura radiómica de la masa primaria y el ganglio linfático mediastínico de la PET/TC en la supervivencia de pacientes con cáncer de pulmón de célula no pequeña. Revista Española de Medicina Nuclear e Imagen Molecular. 2024, 500027, ISSN 2253-654X,  doi.org/10.1016/j.remn.2024.500027
  7. LIFEx-texture: Shiyuan Liu. Artificial Intelligence in Medical Imaging in China. Springer Singapore, 978-981-99-8441-1, 02 August 2024 doi.org/10.1007/978-981-99-8441-1
  8. LIFEx-texture: Yesh Datar, Sarah A.M. Cuddy, Gavin Ovsak, Gerard T. Giblin, BCh, Mathew S. Maurer, Frederick L. Ruberg, Rima Arnaout, Sharmila Dorbala. Myocardial Texture Analysis of Echocardiograms in Cardiac Transthyretin Amyloidosis. Brief Research Communication| Volume 37, ISSUE 5, P570-573, May 2024. doi.org/10.1016/j.echo.2024.02.005
  9. LIFEx-MTV: Jiang Chong, Teng Yue, Ding Chongyang. Survival prognosis analysis of diffuse large B-cell lymphoma patients using tumor distribution patterns and metabolic tumor volume prediction with 18F-FDG PET[J]. International Journal of Radiation Medicine and Nuclear Medicine, 2024, 48(0): 1-8. doi.org/10.3760/cma.j.cn121381-202306031-00412
  10. LIFEx-texture: Contreras Aguilar, M. T., Salazar Calderon, D. R., Moreno Jimenez, S., & Chilaca Rosas, M. F. (2024). Determination of volumetry and compacity with a radiomics platform of high-grade CNS gliomas treated with radiotherapy. Archivos De Neurociencias, 29(S1). Retrieved from archivosdeneurociencias.org/index.php/ADN/article/view/522
  11. LIFEx-texture: Khromova S.V., Karmazanovsky G.G., Karelskaya N.A., Gruzdev I.S. The texture analysis of computed tomography studies in clear cell renal cell carcinoma: reproducibility of 2D and 3D segmentation. Almanac of clinical medicine. ISSN 2587-9294. Vol 51, No 8 (2023) doi.org/10.18786/2072-0505-2024-52-007

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