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3. Detecting Spurious Correlations with Sanity Tests for Artificial Intelligence Guided Radiology Systems

4. MRI Assessment of Extramural Venous Invasion Before and After Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer and Its Association with Disease-Free and Overall Survival

7. Pancreatic neuroendocrine neoplasms: a 2022 update for radiologists

9. Update to the structured MRI report for primary staging of rectal cancer: Perspective from the SAR Disease Focused Panel on Rectal and Anal Cancer

10. Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study

12. ASO Visual Abstract: MRI Assessment of Extramural Venous Invasion Before and After Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer and its Association with Disease-Free and Overall Survival

26. Rectal cancer lexicon: consensus statement from the society of abdominal radiology rectal & anal cancer disease-focused panel

32. Extramural Venous Invasion and Tumor Deposit at Diffusion-weighted MRI in Patients after Neoadjuvant Treatment for Rectal Cancer

34. Utility of Fully Automated Body Composition Measures on Pretreatment Abdominal CT for Predicting Survival in Patients With Colorectal Cancer

44. Evaluation of cancer outcome assessment using MRI: A review of deep-learning methods

46. Evaluation of cancer outcome assessment using MRI: A review of deep-learning methods

49. MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer

50. Quality control of radiomic features using 3D-printed CT phantoms

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