arrow
返回
O

Oliver Tomić

norwegian university of life sciences

29H指数
119论文数
2.5K被引数
收录论文 41
发表时间
Exploratory immunomonitoring during radiochemotherapy in HNSCC and machine-learning reveal immune parameters associated with disease-free survival头颈鳞状细胞癌放疗期间的探索性免疫监测与机器学习揭示与无病生存期相关的免疫参数
err2026-08-31
err0
errOAAI
errAnna-Jasmina Donaubauer; Oliver Tomic; Lia Mogge; Sarina K. Müller; Cecilia Marie Futsaether; Kristian Hovde Liland; Bao Ngoc Huynh; Jens von der Grün; Panagiotis Balermpas; Max Fleischmann; Matthias G. Hautmann; Felix Steger; Christopher Bohr; Thomas Hehr; Carmen Stromberger; Volker Budach; Markus Schymalla; Rita Engenhart-Cabillic; Lukas Kocik; Hans Geinitz; Ursula Nestle; Gunter Klautke; Claudia Scherl; Philipp Schubert; Stefanie Corradini; Rainer Fietkau; Udo S. Gaipl; Benjamin Frey; Marlen Haderlein
err分享
err收藏
Direct integration of deep learning–based GTV auto-segmentation into a clinical radiotherapy planning system基于深度学习的GTV自动分割的直接集成到临床放射治疗计划系统中
err2026-04-03
err0
errOAAI
errBao Ngoc Huynh; Cecilia Marie Futsaether; Oliver Tomic; Kristian Hovde Liland; Manish Kakar; Taran Paulsen Hellebust; Eirik Malinen; Einar Dale; Karsten Rydén-Eilertsen
err分享
err收藏
Semantic segmentation of forest stands using deep learning基于深度学习的森林小班语义分割
err2026-01-01
err0
PREAI
errSandum, Hakon Naess; Orka, Hans Ole; Tomic, Oliver; Naesset, Erik; Gobakken, Terje
err分享
err收藏
Novel ensemble feature selection techniques applied to high-grade gastroenteropancreatic neuroendocrine neoplasms for the prediction of survival
err2024-02-01
err0
errOAAI
errJenul, Anna; Stokmo, Henning Langen; Schrunner, Stefan; Hjortland, Geir Olav; Revheim, Mona-Elisabeth; Tomic, Oliver
err分享
err收藏
Why use component-based methods in sensory science?为什么在感官科学中使用基于组件的方法?
err2023-12-01
err0
errOAAI
errNaes, Tormod; Varela, Paula; Castura, John C.; Bro, Rasmus; Tomic, Oliver
err分享
err收藏
Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics头颈癌治疗结果预测: 具有传统影像组学特征的机器学习与深度学习影像组学的比较
err2023-08-30
err17
errOAAI
errHuynh, Bao Ngoc; Groendahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Skjei; Hoebers, Frank; van Elmpt, Wouter; Malinen, Eirik; Dale, Einar; Futsaether, Cecilia Marie
err分享
err收藏
Non-linear shrinking of linear model errors
err2023-06-01
err4
errOAAI
errHelin, Runar; Indahl, Ulf; Tomic, Oliver; Liland, Kristian Hovde
err分享
err收藏
A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS)
err2022-08-22
err4
errOAAI
errJenul, Anna; Schrunner, Stefan; Pilz, Jurgen; Tomic, Oliver
err分享
err收藏
Prediction of wine sensory properties using mid-infrared spectra of Cabernet Sauvignon and Chardonnay grape berries and wines
err2021-05-01
err12
PREAI
errNiimi, Jun; Liland, Kristian H.; Tomic, Oliver; Jeffery, David W.; Bastian, Susan E. P.; Boss, Paul K.
err分享
err收藏
A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers
err2021-03-04
err30
PREAI
errGroendahl, Aurora Rosvoll; Knudtsen, Ingerid Skjei; Bao Ngoc Huynh; Mulstad, Martine; Moe, Yngve Mardal; Knuth, Franziska; Tomic, Oliver; Indahl, Ulf Geir; Torheim, Turid; Dale, Einar; Malinen, Eirik; Futsaether, Cecilia Marie
err分享
err收藏
RENT-Repeated Elastic Net Technique for Feature Selection
err2021-01-01
err19
errOAAI
errJenul, Anna; Schrunner, Stefan; Liland, Kristian Hovde; Indahl, Ulf Geir; Futsaether, Cecilia Marie; Tomic, Oliver
err分享
err收藏
SO-PLS as an alternative approach for handling multi-dimensionality in modelling different aspects of consumer expectations
err2020-07-01
err3
errOAAI
errQuoc Cuong Nguyen; Liland, Kristian Hovde; Tomic, Oliver; Tarrega, Amparo; Varela, Paula; Naes, Tormod
err分享
err收藏
Objective measures of grape quality: From Cabernet Sauvignon grape composition to wine sensory characteristics
err2020-04-01
err24
errOAAI
errNiimi, Jun; Tomic, Oliver; Nas, Tormod; Bastian, Susan E. P.; Jeffery, David W.; Nicholson, Emily L.; Maffei, Suzanne M.; Boss, Paul K.
err分享
err收藏