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- [2] RECURRENCE PREDICTION IN CUTANEOUS MELANOMA PATIENTS BY EXPLOITING DEEP LEARNING ON H&E SLIDE IMAGESJOURNAL FOR IMMUNOTHERAPY OF CANCER, 2022, 10 : A1329 - A1329Guida, MicheleComes, Maria ColombaFucci, LiviaStrippoli, SabinoBove, SamanthaDe Risi, IvanaFanizzi, AnnaritaMilella, MartinaMele, FabioZito, AlfredoMassafra, Raffaella
- [3] Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and DeathCLINICAL CANCER RESEARCH, 2020, 26 (05) : 1126 - 1134Kulkarni, Prathamesh M.Robinson, Eric J.Pradhan, Jaya SarinGartrell-Corrado, Robyn D.Rohr, Bethany R.Trager, Megan H.Geskin, Larisa J.Kluger, Harriet M.Wang, Pok FaiAcs, BalazsRizk, Emanuelle M.Yang, ChenMondal, ManasMoore, Michael R.Osman, ImanPhelps, RobertHorst, Basil A.Chen, Zhe S.Ferringer, TammieRimm, David L.Wang, JingSaenger, Yvonne M.
- [4] Learning relevant H&E slide morphologies for prediction of colorectal cancer tumor mutation burden using weakly supervised deep learning.JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (15)Joshi, Rohan P.Kruger, Andrew J.Sha, LingdaoKannan, MadhaviKhan, Aly A.Stumpe, Martin
- [5] Deep learning predicts tumor radiosensitivity from H&E images of HNSCC xenograft modelsRADIOTHERAPY AND ONCOLOGY, 2024, 194 : S5329 - S5333Ouadah, CyliaMichlikova, SonaZwanenburg, AlexYakimovich, ArturBorgeaud, NathalieKoi, LydiaKhan, Safayat MahmudBesso, Maria JoseKurth, InaDietrich, AntjeKrause, MechthildLoeck, Steffen
- [6] Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learningnpj Precision Oncology, 4Mingyu ChenBin ZhangWin TopatanaJiasheng CaoHepan ZhuSarun JuengpanichQijiang MaoHong YuXiujun Cai
- [7] Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learningNPJ PRECISION ONCOLOGY, 2020, 4 (01)Chen, MingyuZhang, BinTopatana, WinCao, JiashengZhu, HepanJuengpanich, SarunMao, QijiangYu, HongCai, Xiujun
- [8] Unsupervised Deep-Learning on H&E Images of Primary Melanoma Tumors for BRAF Mutational Status and Survival Prediction: An Enrichment for Clinical Decision MakingLABORATORY INVESTIGATION, 2023, 103 (03) : S394 - S394Bossard, CelineSalhi, YahiaQuereux, GaelleSalhi, SanaeChetritt, Jerome
- [9] Comparison of Deep Learning Architectures for H&E Histopathology Images2017 IEEE CONFERENCE ON BIG DATA AND ANALYTICS (ICBDA), 2017, : 43 - 48Sun, JiameiBinder, Alexander
- [10] Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical ReviewJOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (12):Couture, Heather D.