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- 2024
-
Mark
Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning
Tong, Yizhi ; Arimura, Hidetaka ; Yoshitake, Tadamasa ; Cui, Yunhao ; Kodama, Takumi ; Shioyama, Yoshiyuki ; Wirestam, Ronnie LU
and Yabuuchi, Hidetake
(2024)
In Applied Sciences (Switzerland)
14(8).
- Contribution to journal › Article
-
Mark
Advancing X-ray imaging with deep learning : Physics-inspired reconstruction approaches
(2024)
- Thesis › Doctoral thesis (compilation)
-
Mark
Novel radiological approaches for diagnosis and treatment of diseases in the pelvic region. Applications in the uterus and the prostate.
- Thesis › Doctoral thesis (compilation)
-
Mark
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments
Bayramoglu, Neslihan ; Englund, Martin LU
; Haugen, Ida K.
; Ishijima, Muneaki
and Saarakkala, Simo
(2024)
In Methods of Information in Medicine
63(01/02).
p.001-010
- Contribution to journal › Article
-
Mark
Tricuspid valve flow measurement using a deep learning framework for automated valve-tracking 2D phase contrast
Lamy, Jérôme ; Gonzales, Ricardo A. ; Xiang, Jie ; Seemann, Felicia ; Huber, Steffen ; Steele, Jeremy ; Wieben, Oliver ; Heiberg, Einar LU
and Peters, Dana C.
(2024)
In Magnetic Resonance in Medicine
92(5).
p.1838-1850
- Contribution to journal › Article
-
Mark
Deep Learning for Breast Cancer Detection in Ultrasound Imaging : Classification, Managing Data Scarcity and Detecting Out-of-Distribution Samples
- Thesis › Licentiate thesis
-
Mark
Identification of sentinel lymph node macrometastasis in breast cancer by deep learning based on clinicopathological characteristics
- Contribution to journal › Article
-
Mark
A novel end-to-end dual-camera system for eye gaze synchrony assessment in face-to-face interaction
- Contribution to journal › Article
-
Mark
Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
- Contribution to journal › Article
-
Mark
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding