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PubPharm (7)
1
Image-based artificial intelligence for the prediction of pathological complete response to neoadjuvant chemoradiotherapy in patients with rectal cancer : a systematic review and meta-analysis
enthalten in:
La Radiologia medica
| 2024
von
Shen, H.
|
Jin, Z.
|
Chen, Q.
| +4
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2
Automated and reusable deep learning (AutoRDL) framework for predicting response to neoadjuvant chemotherapy and axillary lymph node metastasis in breast cancer using ultrasound images : a retrospective, multicentre study
enthalten in:
EClinicalMedicine
| 2024
von
You, J.
|
Huang, Y.
|
Ouyang, L.
| +10
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3
Image-based artificial intelligence for the prediction of pathological complete response to neoadjuvant chemoradiotherapy in patients with rectal cancer: a systematic review and meta-analysis
enthalten in:
La Radiologia medica
| 2024
von
Shen, H.
|
Jin, Z.
|
Chen, Q.
| +4
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4
An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma
enthalten in:
La Radiologia medica
| 2024
von
Zhang, L.
|
Jin, Z.
|
Li, C.
| +10
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5
An interpretable machine learning model based on contrast-enhanced CT parameters for predicting treatment response to conventional transarterial chemoembolization in patients with hepatocellular carcinoma
enthalten in:
La Radiologia medica
| 2024
von
Zhang, L.
|
Jin, Z.
|
Li, C.
| +10
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6
Development and Validation of a Feature-Based Broad-Learning System for Opportunistic Osteoporosis Screening Using Lumbar Spine Radiographs
enthalten in:
Academic radiology
| 2024
von
Zhang, B.
|
Chen, Z.
|
Yan, R.
| +6
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7
PO‐AKID‐teller : An interpretable machine learning tool for predicting acute kidney injury requiring dialysis after acute type A aortic dissection surgery
enthalten in:
MedComm – Future Medicine
| 2024
von
Chen, Q.
|
Fu, B.
|
Yang, J.
| +5
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Erscheinungsjahr: 2020-2029
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Erscheinungsjahr: 2024-2024
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La Radiologia medica
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