Cancer Atlas Project–Haryana: Insights for Healthcare Planners

Atlas + X: Sampling-based Planners on Constraint Manifolds

Sampling-based planners struggle when the valid configurations are constrained to an implicit manifold. Special planners have been proposed for this problem recently. Our new framework is decoupled from any particular planner and augments existing algorithms not explicitly designed for constraint planning. We demonstrate the advantages of our generalized approach.

Structural dynamics in northern Atlas of Tunisian, Jendouba area: insights from geology and gravity data

This paper presents a new interpretation of the geometry of Triassic alignment of J. Sidi Mahdi –J. Zitoun in Medjerda Valley Plain (Northern Tunisia) based on detailed analysis of gravity and seismic reflection data. The main results of gravity analysis do not show a distinguish gravity anomaly over Triassic evaporites bodies. The positive gravity anomaly seems to be related to the entire stru...

Prostate Cancer Dephosphorylation Atlas

Image-based versus atlas-based patient-specific S-value assessment for Samarium-153 EDTMP cancer palliative care: A short study

Introduction: Use of SPECT/CT data is the most accurate method for patient-specific internal dosimetry when isotopes emit single gamma rays. The manual or semi-automatic segmentation of organs is a major obstacle that slows down and limits the patient-specific dosimetry. Using digital phantoms that mimic patient’s anatomy can bypass the segmentation step and facilitate the dosi...

Insights into the Genetic Basis of the Renal Cell Carcinomas from The Cancer Genome Atlas.

The renal cell carcinomas (RCC), clear cell, papillary, and chromophobe, have recently undergone an unmatched genomic characterization by The Cancer Genome Atlas. This analysis has revealed new insights into each of these malignancies and underscores the unique biology of clear cell, papillary, and chromophobe RCC. Themes that have emerged include distinct mechanisms of metabolic dysregulation ...