 Connection
Ana Gleisner to Machine Learning
This is a "connection" page, showing publications Ana Gleisner has written about Machine Learning.
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Connection Strength |
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0.486 |
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Catalano G, Alaimo L, Chatzipanagiotou OP, Ruzzenente A, Ratti F, Aldrighetti L, Marques HP, Cauchy F, Lam V, Poultsides GA, Hugh T, Popescu I, Alexandrescu S, Martel G, Kitago M, Endo I, Gleisner A, Shen F, Pawlik TM. Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning. HPB (Oxford). 2025 Jun; 27(6):807-815.
Score: 0.165
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Altaf A, Munir MM, Khan MMM, Rashid Z, Khalil M, Guglielmi A, Ratti F, Aldrighetti L, Bauer TW, Marques HP, Martel G, Alexandrescu S, Weiss MJ, Kitago M, Poultsides G, Maithel SK, Pulitano C, Lam V, Popescu I, Gleisner A, Hugh T, Shen F, Cauchy F, Koerkamp BG, Endo I, Pawlik TM. Machine learning based prediction model for bile leak following hepatectomy for liver cancer. HPB (Oxford). 2025 Apr; 27(4):489-501.
Score: 0.163
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Endo Y, Tsilimigras DI, Munir MM, Woldesenbet S, Guglielmi A, Ratti F, Marques HP, Cauchy F, Lam V, Poultsides GA, Kitago M, Alexandrescu S, Popescu I, Martel G, Gleisner A, Hugh T, Aldrighetti L, Shen F, Endo I, Pawlik TM. Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma. HPB (Oxford). 2024 Nov; 26(11):1369-1378.
Score: 0.158
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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