activity
20242026
collaborators

5 papers

cs.CV2026

Parameter-Efficient pretrained-CT-to-MRI Transfer for Rectal Cancer Segmentation: Performance-Calibration Trade-offs

Aneesh Rangnekar, Jorge Tapias Gomez, Joseph O Deasy +1

Accurate rectal cancer segmentation from magnetic resonance imaging (MRI) is essential for adaptive radiotherapy and tumor response assessment, but deployment also requires computa…

cs.CV2026

Prediction of Rectal Cancer Regrowth from Longitudinal Endoscopy

Jorge Tapias Gomez, Despoina Kanata, Aneesh Rangnekar +8

Clinical trial studies indicate benefit of watch-and-wait (WW) surveillance for patients with rectal cancer showing a complete or near clinical response (CR) directly after treatme…

cs.CV2025

Dual Cross-Attention Siamese Transformer for Rectal Tumor Regrowth Assessment in Watch-and-Wait Endoscopy

Jorge Tapias Gomez, Despoina Kanata, Aneesh Rangnekar +4

Increasing evidence supports watch-and-wait (WW) surveillance for patients with rectal cancer who show clinical complete response (cCR) at restaging following total neoadjuvant tre…

cs.CV2025

Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion

Jorge Tapias Gomez, Nishant Nadkarni, Lando S. Bosma +7

Objective: Clinical implementation of deformable image registration (DIR) requires voxel-based spatial accuracy metrics such as manually identified landmarks, which are challenging…

eess.IV2024

Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment

Jorge Tapias Gomez, Aneesh Rangnekar, Hannah Williams +4

Endoscopic images are used at various stages of rectal cancer treatment starting from cancer screening, diagnosis, during treatment to assess response and toxicity from treatments…