日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A deep learning derived prostate zonal volume-based biomarker from T2-weighted MRI to distinguish between prostate cancer and benign prostatic hyperplasia

基于深度学习的T2加权MRI前列腺分区体积生物标志物可用于区分前列腺癌和良性前列腺增生

Zhang, Zelin; Yang, Qingsong; Shiradkar, Rakesh; Mirtti, Tuomas; Azamat, Sena; Xuan, Kai; Xu, Jun; Madabhushi, Anant

Population-Specific Radiomics From Biparametric Magnetic Resonance Imaging Improves Prostate Cancer Risk Stratification in African American Men

基于双参数磁共振成像的人群特异性放射组学可改善非裔美国男性前列腺癌风险分层

Midya, Abhishek; Tirumani, Sreeharsha; Bittencourt, Leonardo Kayat; Azamat, Sena; Balakrishnan, Siddharth; Hiremath, Amogh; Wido, Sarah; Fu, Pingfu; Ponsky, Lee; Madabhushi, Anant; Shiradkar, Rakesh

Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study

深度学习揭示轻症和重症 COVID-19 患者基线胸部 CT 影像的肺部形态差异:一项多中心回顾性研究

Hiremath, Amogh; Viswanathan, Vidya Sankar; Bera, Kaustav; Shiradkar, Rakesh; Yuan, Lei; Armitage, Keith; Gilkeson, Robert; Ji, Mengyao; Fu, Pingfu; Gupta, Amit; Lu, Cheng; Madabhushi, Anant

An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findings

一种用于根治性前列腺切除术后预后预测的放射病理一体化机器学习分类器:初步研究结果

Hiremath, Amogh; Corredor, Germán; Li, Lin; Leo, Patrick; Magi-Galluzzi, Cristina; Elliott, Robin; Purysko, Andrei; Shiradkar, Rakesh; Madabhushi, Anant

Multi-scale statistical deformation based co-registration of prostate MRI and post-surgical whole mount histopathology

基于多尺度统计形变的前列腺MRI与术后全切片组织病理学配准

Li, Lin; Shiradkar, Rakesh; Gottlieb, Noah; Buzzy, Christina; Hiremath, Amogh; Viswanathan, Vidya Sankar; MacLennan, Gregory T; Lima, Danly Omil; Gupta, Karishma; Shen, Daniel Lee; Tirumani, Sree Harsha; Magi-Galluzzi, Cristina; Purysko, Andrei; Madabhushi, Anant

Laterality of Radiation Therapy in Breast Cancer is Not Associated With Increased Risk of Coronary Artery Disease in the Contemporary Era

在当代,乳腺癌放射治疗的侧别与冠状动脉疾病风险增加无关。

Seth, Lakshya; Makram, Omar; Essa, Amr; Patel, Vraj; Jiang, Stephanie; Bhave, Aditya; Yerraguntla, Sandeep; Gopu, Gaurav; Malik, Sarah; Swaby, Justin; Rast, Johnathon; Padgett, Caleb A; Shetewi, Ahmed; Nain, Priyanshu; Weintraub, Neal; Miller, Eric D; Dent, Susan; Barac, Ana; Shiradkar, Rakesh; Madabhushi, Anant; Ferguson, Catherine; Guha, Avirup

Neoadjuvant cabozantinib restores CD8+ T cells in patients with locally advanced non-metastatic clear cell renal cell carcinoma: a phase 2 trial

新辅助卡博替尼可恢复局部晚期非转移性透明细胞肾细胞癌患者的 CD8+ T 细胞:一项 II 期试验

Bilen, Mehmet A; Vo, BaoHan T; Liu, Yuan; Greenwald, Rachel; Davarpanah, Amir H; McGuire, Donald; Shiradkar, Rakesh; Li, Liping; Nazha, Bassel; Brown, Jacqueline T; Williams, Sierra; Session, Wilena; Russler, Greta; Caulfield, Sarah; Joshi, Shreyas S; Narayan, Vikram M; Filson, Christopher P; Ogan, Kenneth; Kucuk, Omer; Carthon, Bradley Curtis; Del Balzo, Luke; Cohen, Athena; Boyanton, Adriana; Prokhnevska, Nataliya; Cardenas, Maria Andrea; Sobierajska, Ewelina; Jansen, Caroline S; Patil, Dattatraya H; Nicaise, Edouard; Osunkoya, Adeboye O; Kissick, Haydn; Master, Viraj A

Delta radiomic patterns on serial bi-parametric MRI are associated with pathologic upgrading in prostate cancer patients on active surveillance: preliminary findings

在接受积极监测的前列腺癌患者中,连续双参数磁共振成像的Delta放射组学模式与病理升级相关:初步研究结果

Midya, Abhishek; Hiremath, Amogh; Huber, Jacob; Sankar Viswanathan, Vidya; Omil-Lima, Danly; Mahran, Amr; Bittencourt, Leonardo K; Harsha Tirumani, Sree; Ponsky, Lee; Shiradkar, Rakesh; Madabhushi, Anant

Novel radiomic analysis on bi-parametric MRI for characterizing differences between MR non-visible and visible clinically significant prostate cancer

基于双参数磁共振成像的新型放射组学分析,用于表征磁共振成像不可见和可见的临床显著性前列腺癌之间的差异

Li, Lin; Shiradkar, Rakesh; Tirumani, Sree Harsha; Bittencourt, Leonardo Kayat; Fu, Pingfu; Mahran, Amr; Buzzy, Christina; Stricker, Phillip D; Rastinehad, Ardeshir R; Magi-Galluzzi, Cristina; Ponsky, Lee; Klein, Eric; Purysko, Andrei S; Madabhushi, Anant

"Shortcuts" Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation

放射学人工智能中的“捷径”导致偏见:原因、评估和缓解

Banerjee, Imon; Bhattacharjee, Kamanasish; Burns, John L; Trivedi, Hari; Purkayastha, Saptarshi; Seyyed-Kalantari, Laleh; Patel, Bhavik N; Shiradkar, Rakesh; Gichoya, Judy