…si_reader.py

…izing function to Image.resize, cucim.skimage.transform.resize

…roject-MONAI#7308)

### Description

Based on the discussion topic
[here](Project-MONAI#7161 (comment)),
we implemented the Conjugate-Gradient algorithm for linear operator
inversion, and Stein's Unbiased Risk Estimator (SURE) [1] loss for
ground-truth-date free diffusion process guidance that is proposed in
[2] and illustrated in the algorithm below:

<img width="650" alt="Screenshot 2023-12-10 at 10 19 25 PM"
src="https://github.com/Project-MONAI/MONAI/assets/8581162/97069466-cbaf-44e0-b7a7-ae9deb8fd7f2">

The Conjugate-Gradient (CG) algorithm is used to solve for the inversion
of the linear operator in Line-4 in the algorithm above, where the
linear operator is too large to store explicitly as a matrix (such as
FFT/IFFT of an image) and invert directly. Instead, we can solve for the
linear inversion iteratively as in CG.

The SURE loss is applied for Line-6 above. This is a differentiable loss
function that can be used to train/giude an operator (e.g. neural
network), where the pseudo ground truth is available but the reference
ground truth is not. For example, in the MRI reconstruction, the pseudo
ground truth is the zero-filled reconstruction and the reference ground
truth is the fully sampled reconstruction. The reference ground truth is
not available due to the lack of fully sampled.

**Reference**
[1] Stein, C.M.: Estimation of the mean of a multivariate normal
distribution. Annals of Statistics 1981 [[paper
link](https://projecteuclid.org/journals/annals-of-statistics/volume-9/issue-6/Estimation-of-the-Mean-of-a-Multivariate-Normal-Distribution/10.1214/aos/1176345632.full)]
[2] B. Ozturkler et al. SMRD: SURE-based Robust MRI Reconstruction with
Diffusion Models. MICCAI 2023
[[paper link](https://arxiv.org/pdf/2310.01799.pdf)]

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- [x] In-line docstrings updated.
- [x] Documentation updated, tested `make html` command in the `docs/`
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…ject-MONAI#7569)

Fixes Project-MONAI#7451

### Description
Reduces the length of error messages and error messages being propagated
twice. This helps debug better when long `ConfigComponent`s are being
instantiated. Refer to issue Project-MONAI#7451 for more details

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Fixes Project-MONAI#2872 

### Description

Implementation of mixup, cutmix and cutout as described in the original
papers.
Current implementation support both, the dictionary-based batches and
tuples of tensors.

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… reduce redundancy; for get_mpp of TiffFileWSIReader: added check to prevent division by zero error.

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